NVIDIA NIM for GPU accelerated Mixtral-8x22B-Instruct-v0.1 inference through OpenAI compatible APIs Publisher NVIDIA Latest Tag 1.2.2 Modified September 26, 2024 Compressed Size 6.37 GB Multinode Support No Multi-Arch Support No Linux/amd64 ...
Your mixtral AWQ is only one that actually works properly compared to TheBloke etc. I wonder if you are able to do the same task for https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1 ? Thanks!
When I load Mixtral-8x22B-Instruct-v0.1-FP8 onto 8 L40S it causes this error: Attaching to vllm1-1 vllm1-1 | (VllmWorkerProcess pid=14207) INFO 06-13 00:51:33 multiproc_worker_utils.py:215] Worker ready; awaiting tasks vllm1-1 | (VllmWorkerProcess pid=14205) INFO 06-13 00:...
Mixtral 让开源再次伟大 | 用Mixtral-8x22b-Instruct-v0.1弄了个小游戏体验: 1. 中文能力过关 2. 指令追随很好 3. CoT稳定 4. Q1量化最低显存要求30GB,性能不错Q4版本90GB#LLM(大型语言模型) #Mistral #OpenAI #chat GPT #开源 #深度学习(Deep Learning) 发布于 2024-04-18 20:58・IP 属地四川 ...
Open Resources 公共资源 公共数据集 公共教程 公共模型 OpenBayes 服务状态帮助与支持关于 搜索K 登录/注册 open-tutorials/ 模型/ Mixtral-8x22b-instruct-v0.1-q8_0/ 版本 V1 当前版本 创建空版本概览版本1 v1最新版本当前版本 8 个月前 处理完毕 139.16 GB 暂无版本描述OpenBayes 控制台...
open-tutorials/ 模型/ mixtral:8x22b-instruct-v0.1-q4_0 V1 当前版本 创建空版本概览版本1 暂无版本备注 7 个月前 处理完毕 74.05 GB 共1 个版本 准备体验 OpenBayes? 现在即可注册并立即体验 OpenBayes 的在线机器学习服务,您也可以联系我们了解如何为您的企业提供定制化方案 立即注册联系在线客服已有账号?Op...
Mixtral-8x22B-Instruct is a language model that can follow instructions, complete requests, and generate creative text formats. The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1. ...
View in Studio: https://ml.azure.com/registries/azureml/models/mistralai-Mixtral-8x22B-Instruct-v0-1/version/1License: apache-2.0PropertiesSharedComputeCapacityEnabled: TrueSHA: 514d47be2925f7b5d845bbb34a29d5c73ccf53d8inference-min-sku-spec: 96|8|1924|2900...
openai:latest \ --port=5010 \ --host=0.0.0.0 \ --model=mistralai/Mixtral-8x22B-Instruct-v0.1 \ --seed 1234 \ --tensor-parallel-size=8 \ --max-num-batched-tokens=131072 --max-log-len=100 \ --download-dir=$HOME/.cache/huggingface/hub &>> logs.vllm_server.mistral822instruct....