solidrust / flammen25-mistral-7B-AWQ

huggingface.co
Total runs: 25
24-hour runs: 0
7-day runs: 1
30-day runs: 9
Model's Last Updated: September 03 2024
text-generation

Introduction of flammen25-mistral-7B-AWQ

Model Details of flammen25-mistral-7B-AWQ

flammenai/flammen25-mistral-7B AWQ

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/flammen25-mistral-7B-AWQ"
system_message = "You are flammen25-mistral-7B, incarnated as a powerful AI. You were created by flammenai."

# 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:

Runs of solidrust flammen25-mistral-7B-AWQ on huggingface.co

25
Total runs
0
24-hour runs
-1
3-day runs
1
7-day runs
9
30-day runs

More Information About flammen25-mistral-7B-AWQ huggingface.co Model

flammen25-mistral-7B-AWQ huggingface.co

flammen25-mistral-7B-AWQ huggingface.co is an AI model on huggingface.co that provides flammen25-mistral-7B-AWQ's model effect (), which can be used instantly with this solidrust flammen25-mistral-7B-AWQ model. huggingface.co supports a free trial of the flammen25-mistral-7B-AWQ model, and also provides paid use of the flammen25-mistral-7B-AWQ. Support call flammen25-mistral-7B-AWQ model through api, including Node.js, Python, http.

flammen25-mistral-7B-AWQ huggingface.co Url

https://huggingface.co/solidrust/flammen25-mistral-7B-AWQ

solidrust flammen25-mistral-7B-AWQ online free

flammen25-mistral-7B-AWQ huggingface.co is an online trial and call api platform, which integrates flammen25-mistral-7B-AWQ's modeling effects, including api services, and provides a free online trial of flammen25-mistral-7B-AWQ, you can try flammen25-mistral-7B-AWQ online for free by clicking the link below.

solidrust flammen25-mistral-7B-AWQ online free url in huggingface.co:

https://huggingface.co/solidrust/flammen25-mistral-7B-AWQ

flammen25-mistral-7B-AWQ install

flammen25-mistral-7B-AWQ is an open source model from GitHub that offers a free installation service, and any user can find flammen25-mistral-7B-AWQ on GitHub to install. At the same time, huggingface.co provides the effect of flammen25-mistral-7B-AWQ install, users can directly use flammen25-mistral-7B-AWQ installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

flammen25-mistral-7B-AWQ install url in huggingface.co:

https://huggingface.co/solidrust/flammen25-mistral-7B-AWQ

Url of flammen25-mistral-7B-AWQ

flammen25-mistral-7B-AWQ huggingface.co Url

Provider of flammen25-mistral-7B-AWQ huggingface.co

solidrust
ORGANIZATIONS

Other API from solidrust