Mistral-7B Chat Int4 DownloadDescriptionThe Mistral-7B-Instruct-v0.1 Large Language Model (LLM) is a instruct fine-tuned version of the Mistral-7B-v0.1 generative text model using a variety of publicly available conversation datasets. PublisherMistral AI Latest Version1.2 ModifiedMarch 6, 2025 Size...
(4)message中的content总长度不能超过4800个字符 stream bool 否 是否以流式接口的形式返回数据,默认false temperature float 否 说明:(1)较高的数值会使输出更加随机,而较低的数值会使其更加集中和确定(2)范围 (0, 1.0],不能为0 top_k int 否 Top-K 采样参数,在每轮token生成时,保留k个概率最高的...
I am running mistral 7b and phi 2 in ARC GPU and getting a core dump error. I have converted the model into lower precision (int4) and saved it. And then loading the int4 model in the GPU. The same converted model I am being able to run successfully in the CPU. I have attached ...
12.8日更新,先跑几个热门的,欢迎大家来比较,如果没有特别指明,都是跑int4 量化:1. mistral large 123b,惨烈5tokens每秒,只能算能跑2.mistral 8x22b,140b,激活参数47b,这是我最喜欢的模型,可惜没更新,17tokens每秒3.mistal 8x7b,47b, 激活参数大概14b,45tokens每秒4. llama3.3 70b,最新的,10tokens每秒,跟...
For using int8 and int4 quantization through bitsandbytes, you can use the following command: TRUST_REMOTE_CODE=True openllm start microsoft/phi-2 --quantize int8 To run inference with gptq, simply pass --quantize gptq: openllm start TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq Note...
The extra model-specific dependencies can be installed with the instructions below. Baichuan Quickstart Run the following command to quickly spin up a Baichuan server: openllm start baichuan-inc/baichuan-7b --trust-remote-code You can run the following code in a different terminal to interact ...
The extra model-specific dependencies can be installed with the instructions below. Baichuan Quickstart Run the following command to quickly spin up a Baichuan server: openllm start baichuan-inc/baichuan-7b --trust-remote-code You can run the following code in a different terminal to interact ...
For using int8 and int4 quantization through bitsandbytes, you can use the following command: TRUST_REMOTE_CODE=True openllm start microsoft/phi-2 --quantize int8 To run inference with gptq, simply pass --quantize gptq: openllm start TheBloke/Llama-2-7B-Chat-GPTQ --quantize gptq Note...
docker run --rm --gpus all -p 3000:3000 -it ghcr.io/bentoml/openllm start HuggingFaceH4/zephyr-7b-beta --backend vllm 🏃 Get started The following provides instructions for how to get started with OpenLLM locally. Prerequisites You have installed Python 3.8 (or later) and pip. We ...
qwen/Qwen-7B-Chat-Int4 qwen/Qwen-14B-Chat qwen/Qwen-14B-Chat-Int8 qwen/Qwen-14B-Chat-Int4 StableLM Quickstart Note:StableLM requires to install with: pip install"openllm[stablelm]" Run the following command to quickly spin up a StableLM server: ...