Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
Tripo AI
solidrust / Flora-7B-AWQ
Model's Last Updated: Tháng 9 03 2024
text-generation
Introduction of Flora-7B-AWQ
Model Details of Flora-7B-AWQ
ResplendentAI/Flora-7B AWQ
- Model creator: ResplendentAI
- Original model: Flora-7B
Model Summary
The following YAML configuration was used to produce this model:
merge_method: linear
models:
- model: jeiku/FloraBase+jeiku/Synthetic_Soul_1k_Mistral_128
parameters:
weight: 1
dtype: float16
How to use
Install the necessary packages
pip install --upgrade autoawq autoawq-kernels
Example Python code
from awq import AutoAWQForCausalLM
from transformers import AutoTokenizer, TextStreamer
model_path = "solidrust/Flora-7B-AWQ"
system_message = "You are Flora, incarnated as a powerful AI."
# Load model
model = AutoAWQForCausalLM.from_quantized(model_path,
fuse_layers=True)
tokenizer = AutoTokenizer.from_pretrained(model_path,
trust_remote_code=True)
streamer = TextStreamer(tokenizer,
skip_prompt=True,
skip_special_tokens=True)
# Convert prompt to tokens
prompt_template = """\
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant"""
prompt = "You're standing on the surface of the Earth. "\
"You walk one mile south, one mile west and one mile north. "\
"You end up exactly where you started. Where are you?"
tokens = tokenizer(prompt_template.format(system_message=system_message,prompt=prompt),
return_tensors='pt').input_ids.cuda()
# Generate output
generation_output = model.generate(tokens,
streamer=streamer,
max_new_tokens=512)
About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared to GPTQ, it offers faster Transformers-based inference with equivalent or better quality compared to the most commonly used GPTQ settings.
AWQ models are currently supported on Linux and Windows, with NVidia GPUs only. macOS users: please use GGUF models instead.
It is supported by:
- Text Generation Webui - using Loader: AutoAWQ
- vLLM - version 0.2.2 or later for support for all model types.
- Hugging Face Text Generation Inference (TGI)
- Transformers version 4.35.0 and later, from any code or client that supports Transformers
- AutoAWQ - for use from Python code
Prompt template: ChatML
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Other Quant formats
exl2 and gguf by Bartowski:
Runs of solidrust Flora-7B-AWQ on huggingface.co
23
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3-day runs
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30-day runs
More Information About Flora-7B-AWQ huggingface.co Model
Url of Flora-7B-AWQ
Flora-7B-AWQ huggingface.co Url
Provider of Flora-7B-AWQ huggingface.co
Other API from solidrust
Updated:Tháng 9 03 2024
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