QuantFactory/Meta-Llama-3-8B-Instruct-GGUF · Hugging Face
Apr 18, 2024 · Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama …
Meta-Llama-3-8B-Instruct-GGUF · Models
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction …
【免费下载】 Meta Llama 3 8B Instruct GGUF: 安装与使用教程
Dec 12, 2024 · 文章浏览阅读2.3k次，点赞10次，收藏29次。 Meta Llama 3 8B Instruct GGUF 是一款由 Meta 开发的大型语言模型，专为对话场景优化。 这款模型在常见的行业基准测试中表现出色，超过了 …
llama3:8b-instruct-q4_0
Apr 18, 2024 · Meta Llama 3, a family of models developed by Meta Inc. are new state-of-the-art , available in both 8B and 70B parameter sizes (pre-trained or instruction-tuned).
Meta-Llama-3–8B安装指南：本地运行AI模型的终极教程
我们将使用 llama.cpp 库和 python 在本地快速启动模型。 这只是一个初步的测试设置，虽然只有文本界面……但保证百分之百可行。 我们只需安装两个库： 创建一个新目录（我创建的是 …
wangshenzhi/llama3-8b-chinese-chat-ollama-q4:最新 - Ollama 框架
Llama3-8B-Chinese-Chat 是一个指令微调的语言模型，适用于中文和英文用户，基于 Meta-Llama-3-8B-Instruct 模型，具有角色扮演和工具使用等功能。 开发人员： 王慎执 (Shenzhi Wang) 和 郑耀威 …
Meta-Llama-3-8B-Instruct · Models
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction …
QuantFactory/Meta-Llama-3-8B-GGUF · Hugging Face
Apr 18, 2024 · Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama …
Meta-Llama-3.1-8B-Instruct-GGUF - Hugging Face
But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M.
玩转AI，笔记本电脑安装属于自己的Llama 3 8B大模型和 ...
May 12, 2024 · 我们第一步是想自己部署尝鲜，因此直接下载压缩后的模型权重，文件为 GGUF 格式， GGUF 格式是为了快速推理和优化内存使用而设计的，相比以前的 GGML 格式， GGUF 支持更复杂 …