Total runs:
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Run Growth:
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Growth Rate:
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Sponsored by
AdsCreator.com
solidrust / bagel-7b-v0.4-AWQ
Model's Last Updated: September 03 2024
text-generation
Introduction of bagel-7b-v0.4-AWQ
Model Details of bagel-7b-v0.4-AWQ
A bagel, with everything (except DPO)
- Model creator: jondurbin
- Original model: bagel-7b-v0.4
Model Description
This is the pre-DPO version of the mistral-7b model fine-tuned with https://github.com/jondurbin/bagel
The DPO counterpart is available here: https://huggingface.co/solidrust/bagel-dpo-7b-v0.4-AWQ
The non-DPO version is likely better for roleplay usage.
Compute generously provided by MassedCompute
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/bagel-7b-v0.4-AWQ"
system_message = "You are Bagel, incarnated a powerful AI with everything."
# 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
Runs of solidrust bagel-7b-v0.4-AWQ on huggingface.co
24
Total runs
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24-hour runs
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3-day runs
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More Information About bagel-7b-v0.4-AWQ huggingface.co Model
Url of bagel-7b-v0.4-AWQ
bagel-7b-v0.4-AWQ huggingface.co Url
Provider of bagel-7b-v0.4-AWQ huggingface.co
Other API from solidrust
Updated:September 03 2024
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