Mxode / NanoLM-365M-Base

huggingface.co
Total runs: 7
24-hour runs: 0
7-day runs: -1
30-day runs: 5
Model's Last Updated: September 08 2024
text-generation

Introduction of NanoLM-365M-Base

Model Details of NanoLM-365M-Base

NanoLM-365M-base

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Introduction

Based on Qwen2-0.5B , the tokenizer has been replaced with BilingualTokenizer-8K to reduce the number of parameters. The total parameters have been reduced from 0.5B to 365M.

Details

To recover some performance and facilitate fine-tuning for downstream tasks, I chose to freeze the backbone parameters and only train the embedding part after replacing the tokenizer. Training was conducted for 40,000 steps on wikipedia-zh and cosmopedia-100k .

Value
Total Params 365 M
Trainable Params < 10 M
Trainable Parts model.embed_tokens
Training Steps 40,000
Training Dataset wikipedia-zh , cosmopedia-100k
Optimizer adamw_torch
Learning Rate 2e-4
LR Scheduler cosine
Weight Decay 0.1
Warm-up Ratio 0.03
Batch Size 16
Gradient Accumulation Steps 1
Seq Len 4096
Dtype bf16
Peak GPU Memory < 48 GB
Device NVIDIA A100-SXM4-80GB

The specific training records are as follows: result

Runs of Mxode NanoLM-365M-Base on huggingface.co

7
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
5
30-day runs

More Information About NanoLM-365M-Base huggingface.co Model

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NanoLM-365M-Base huggingface.co is an AI model on huggingface.co that provides NanoLM-365M-Base's model effect (), which can be used instantly with this Mxode NanoLM-365M-Base model. huggingface.co supports a free trial of the NanoLM-365M-Base model, and also provides paid use of the NanoLM-365M-Base. Support call NanoLM-365M-Base model through api, including Node.js, Python, http.

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https://huggingface.co/Mxode/NanoLM-365M-Base

NanoLM-365M-Base install

NanoLM-365M-Base is an open source model from GitHub that offers a free installation service, and any user can find NanoLM-365M-Base on GitHub to install. At the same time, huggingface.co provides the effect of NanoLM-365M-Base install, users can directly use NanoLM-365M-Base installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/Mxode/NanoLM-365M-Base

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