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Sponsored by
APIMart
solidrust / SOVL_Llama3_8B-AWQ
Model's Last Updated: September 03 2024
text-generation
Introduction of SOVL_Llama3_8B-AWQ
Model Details of SOVL_Llama3_8B-AWQ
ResplendentAI/SOVL_Llama3_8B AWQ
- Model creator: ResplendentAI
- Original model: SOVL_Llama3_8B
Model Summary
I'm not gonna tell you this is the best model anyone has ever made. I'm not going to tell you that you will love chatting with SOVL.
What I am gonna say is thank you for taking the time out of your day. Without users like you, my work would be meaningless.
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/SOVL_Llama3_8B-AWQ"
system_message = "You are SOVL_Llama3_8B, incarnated as a powerful AI. You were created by ResplendentAI."
# 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
Runs of solidrust SOVL_Llama3_8B-AWQ on huggingface.co
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More Information About SOVL_Llama3_8B-AWQ huggingface.co Model
Url of SOVL_Llama3_8B-AWQ
SOVL_Llama3_8B-AWQ huggingface.co Url
Provider of SOVL_Llama3_8B-AWQ huggingface.co
Other API from solidrust
Updated:September 03 2024
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