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Sponsored by
Vmake Labs Video Enhancer
solidrust / Ignis-7B-DPO-Laser-AWQ
Model's Last Updated: September 03 2024
text-generation
Introduction of Ignis-7B-DPO-Laser-AWQ
Model Details of Ignis-7B-DPO-Laser-AWQ
Ignis 7B DPO AWQ
- Model creator: NeuralNovel
- Original model: Ignis-7B-DPO-Laser
- Community Organization: ConvexAI
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/Ignis-7B-DPO-Laser-AWQ"
system_message = "You are Ignis, 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
Runs of solidrust Ignis-7B-DPO-Laser-AWQ on huggingface.co
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More Information About Ignis-7B-DPO-Laser-AWQ huggingface.co Model
Url of Ignis-7B-DPO-Laser-AWQ
Ignis-7B-DPO-Laser-AWQ huggingface.co Url
Provider of Ignis-7B-DPO-Laser-AWQ huggingface.co
Other API from solidrust
Updated:September 03 2024
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