Sponsored by APIMart
Toolify Toolify logo
AI Models
meaty_modelxd

lilmeaty / meaty_modelxd

Run on huggingface.co
huggingface.co
Total runs: 2
24-hour runs: 0
7-day runs: 0
30-day runs: 2
Model's Last Updated: November 06 2024
text-generation

Introduction of meaty_modelxd

Model Details of meaty_modelxd

merge

This is a merge of pre-trained language models created using mergekit .

Merge Details
Merge Method

This model was merged using the breadcrumbs_ties merge method using meta-llama/Llama-3.2-3B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model: 

merge_method: breadcrumbs_ties
base_model: meta-llama/Llama-3.2-3B
tokenizer_source: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
dtype: bfloat16
parameters:
  normalize: true
models:
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: meta-llama/Llama-3.2-3B-Instruct
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100
  - model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
    parameters:
      weight: 1
      density: 0.9
      gamma: 0.01
      normalize: true
      int8_mask: true
      random_seed: 0
      temperature: 0.5
      top_p: 0.65
      inference: true
      max_tokens: 999999999
      stream: true
      quantization:
        method: int8
        value: 100
      quantization:
        method: int4
        value: 100

Runs of lilmeaty meaty_modelxd on huggingface.co

2
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
2
30-day runs

More Information About meaty_modelxd huggingface.co Model

meaty_modelxd huggingface.co

meaty_modelxd huggingface.co is an AI model on huggingface.co that provides meaty_modelxd's model effect (), which can be used instantly with this lilmeaty meaty_modelxd model. huggingface.co supports a free trial of the meaty_modelxd model, and also provides paid use of the meaty_modelxd. Support call meaty_modelxd model through api, including Node.js, Python, http.

meaty_modelxd huggingface.co Url

https://huggingface.co/lilmeaty/meaty_modelxd

lilmeaty meaty_modelxd online free

meaty_modelxd huggingface.co is an online trial and call api platform, which integrates meaty_modelxd's modeling effects, including api services, and provides a free online trial of meaty_modelxd, you can try meaty_modelxd online for free by clicking the link below.

lilmeaty meaty_modelxd online free url in huggingface.co:

https://huggingface.co/lilmeaty/meaty_modelxd

meaty_modelxd install

meaty_modelxd is an open source model from GitHub that offers a free installation service, and any user can find meaty_modelxd on GitHub to install. At the same time, huggingface.co provides the effect of meaty_modelxd install, users can directly use meaty_modelxd installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

meaty_modelxd install url in huggingface.co:

https://huggingface.co/lilmeaty/meaty_modelxd

Url of meaty_modelxd

meaty_modelxd huggingface.co Url

Provider of meaty_modelxd huggingface.co

lilmeaty
ORGANIZATIONS
huggingface.co

Other API from lilmeaty

 huggingface.co
lilmeaty/abcdef

Total runs: 397
Run Growth: 356
Growth Rate: 89.67%
Updated:November 04 2024
huggingface.co
lilmeaty/jp_testing

Total runs: 50
Run Growth: 48
Growth Rate: 96.00%
Updated:January 05 2025
huggingface.co
lilmeaty/Jaja-small

Total runs: 29
Run Growth: 19
Growth Rate: 65.52%
Updated:January 21 2025
huggingface.co
lilmeaty/Hghggg

Total runs: 18
Run Growth: 10
Growth Rate: 55.56%
Updated:January 05 2025
huggingface.co
lilmeaty/fgfgx

Total runs: 16
Run Growth: 9
Growth Rate: 50.00%
Updated:November 09 2024
huggingface.co
lilmeaty/ffff

Total runs: 16
Run Growth: 8
Growth Rate: 44.44%
Updated:November 05 2024
huggingface.co
lilmeaty/ccvcvvcvcys

Total runs: 17
Run Growth: 2
Growth Rate: 11.76%
Updated:February 20 2025
huggingface.co
lilmeaty/fgfgfgf

Total runs: 14
Run Growth: 5
Growth Rate: 33.33%
Updated:December 03 2024
huggingface.co
lilmeaty/jdjdjdjbs

Total runs: 13
Run Growth: 5
Growth Rate: 38.46%
Updated:January 21 2025
huggingface.co
lilmeaty/brea

Total runs: 12
Run Growth: 4
Growth Rate: 33.33%
Updated:January 06 2025
huggingface.co
lilmeaty/Ggvv

Total runs: 10
Run Growth: 0
Growth Rate: 0.00%
Updated:January 12 2025
huggingface.co
lilmeaty/bvbvb

Total runs: 9
Run Growth: 1
Growth Rate: 11.11%
Updated:November 29 2024
huggingface.co
lilmeaty/8

Total runs: 9
Run Growth: 8
Growth Rate: 88.89%
Updated:February 20 2025
huggingface.co
lilmeaty/Vllmxd

Total runs: 4
Run Growth: 2
Growth Rate: 50.00%
Updated:February 19 2025
huggingface.co
lilmeaty/Maixtchup

Total runs: 4
Run Growth: 4
Growth Rate: 100.00%
Updated:January 01 2025
huggingface.co
lilmeaty/llama_v6

Total runs: 4
Run Growth: 2
Growth Rate: 50.00%
Updated:February 08 2025
huggingface.co
lilmeaty/hghghghg

Total runs: 4
Run Growth: 0
Growth Rate: 0.00%
Updated:November 26 2024
huggingface.co
lilmeaty/llama

Total runs: 4
Run Growth: 4
Growth Rate: 100.00%
Updated:November 05 2024
huggingface.co
lilmeaty/my_xdd

Total runs: 4
Run Growth: 1
Growth Rate: 25.00%
Updated:February 19 2025
huggingface.co
lilmeaty/tiny

Total runs: 4
Run Growth: 4
Growth Rate: 100.00%
Updated:December 28 2024
huggingface.co
lilmeaty/kaska

Total runs: 3
Run Growth: 1
Growth Rate: 33.33%
Updated:November 09 2024
huggingface.co
lilmeaty/wowxd

Total runs: 3
Run Growth: -1
Growth Rate: -33.33%
Updated:November 04 2024
huggingface.co
lilmeaty/xdddd

Total runs: 3
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/llama_unc

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:December 03 2024
huggingface.co
lilmeaty/kskskskk

Total runs: 2
Run Growth: 1
Growth Rate: 50.00%
Updated:November 29 2024
huggingface.co
lilmeaty/wowkikk

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:January 05 2025
huggingface.co
lilmeaty/xvvvm

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:November 05 2024
huggingface.co
lilmeaty/instruct

Total runs: 2
Run Growth: 1
Growth Rate: 50.00%
Updated:January 05 2025
huggingface.co
lilmeaty/llama-gguf

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:November 29 2024
huggingface.co
lilmeaty/llama_v5

Total runs: 2
Run Growth: 0
Growth Rate: 0.00%
Updated:February 08 2025
huggingface.co
lilmeaty/llama_v3

Total runs: 2
Run Growth: -2
Growth Rate: -100.00%
Updated:February 08 2025
huggingface.co
lilmeaty/gpt2

Total runs: 2
Run Growth: 2
Growth Rate: 100.00%
Updated:November 09 2024
huggingface.co
lilmeaty/xdddsfs

Total runs: 1
Run Growth: -2
Growth Rate: -200.00%
Updated:November 05 2024
huggingface.co
lilmeaty/5

Total runs: 1
Run Growth: 1
Growth Rate: 100.00%
Updated:November 05 2024
huggingface.co
lilmeaty/ja-3B-ET

Total runs: 1
Run Growth: -1
Growth Rate: -100.00%
Updated:January 05 2025
huggingface.co
lilmeaty/tesdfdfv1

Total runs: 1
Run Growth: 1
Growth Rate: 100.00%
Updated:January 12 2025
huggingface.co
lilmeaty/xcccggg

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/xddhcvuv

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/okk

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/cgdgd

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/ddfd11

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/gdgdgdggdg

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:January 10 2025
huggingface.co
lilmeaty/sshhshs

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/ddfd

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/xfac

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/ksksk

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 04 2024
huggingface.co
lilmeaty/qwen

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024
huggingface.co
lilmeaty/jp_xd

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:December 22 2024
huggingface.co
lilmeaty/xdworl

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:February 09 2025
huggingface.co
lilmeaty/lilhjbbbj

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/kskskks

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 06 2024
huggingface.co
lilmeaty/herm

Total runs: 0
Run Growth: 0
Growth Rate: 0.00%
Updated:November 05 2024