下载q4_k_m版本,4.92GB。 编写model file文件 FROM ./Llama3-8B-Chinese-Chat.q4_k_m.GGUF TEMPLATE """{{ if .System }}<|start_header_id|>system<|end_header_id|> {{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|> {{ .Prompt }}<...
让我们看看TheBloke/Llama-2-13B-chat-GGML存储库内的文件。我们可以看到14种不同的GGML模型,对应不同类型的量化。它们遵循特定的命名约定:“q”+用于存储权重(精度)的位数+特定变体。以下是基于 TheBloke 制作的模型卡的所有可能的量化方法及其相应用例的列表: q2_k:使用Q4_K作为attention.vw和feed_forward.w2...
llama-server -m model.gguf --port 8080#Basic web UI can be accessed via browser: http://localhost:8080#Chat completion endpoint: http://localhost:8080/v1/chat/completions Support multiple-users and parallel decoding #up to 4 concurrent requests, each with 4096 max contextllama-server -m mo...
text-generation-webui └── models └── llama-2-13b-chat.Q4_K_M.gguf The remaining model types (like 16-bit transformers models and GPTQ models) are made of several files and must be placed in a subfolder. Example: text-generation-webui ├── models │ ├── lmsys_vicuna-33b...
* Yi-34B-Chat-Q4_K_M GGUF 模型 * 使用 LlamaEdge 运行大模型所需要的推理文件 * 用于构建 Chatbot 的 Web UI 教程链接: https://openbayes.com/console/public/tutorials/v6ZVAzejUCM 打开链接后,点击右上角「克隆」,克隆当前项目,可以直接依据当前模板创建新的训练任务,无需花费时间下载模型,省时又便捷...
LLM的尺寸越来越小。最近的Mistral 7B在许多基准上击败了Llama2 13B,并超过了Llama 34B。量化方法通过将模型大小缩小到可以在任何最近的PC和GPU上使用的程度,进一步推动了这一限制。用Q4_K_M方法(模型,量化)量化的Mistral 7B至多需要7GB RAM就能运行!
Chat request (with tools) Request Response Load a model Request Response Unload a model Request Response Create a Model Parameters Quantization types Examples Create a new model Request Response Quantize a model Request Response Create a model from GGUF Request Response Create a model from a Safete...
E:\clangC++\llama\llama-b1715-bin-win-avx-x64\llama.cpp.exe -m D:\bigModel\llama-2-7b.ggmlv3.q4_0.gguf -c 512 -b 1024 -n 256 --keep 48 --repeat_penalty 1.0 --color -i -r "User:" -f E:\clangC++\llama\llama.cpp-master\prompts\chat-with-bob.txt ...
13B 8.06GB 10.56GB Phind Code Llama 34B Chat (GGUF Q4_K_M) 34B 20.22GB 22.72GB 1.1 安装LlamaGPT 在 umbrelOS Running LlamaGPT on an umbrelOS home server is one click. Simply install it from the Umbrel App Store. 1.2 安装LlamaGPT on M1/M2 Mac Make sure your have Docker ...
Nous Hermes Llama 2 13B Chat (GGML q4_0) 13B 7.32GB 9.82GB Nous Hermes Llama 2 70B Chat (GGML q4_0) 70B 38.87GB 41.37GB Code Llama 7B Chat (GGUF Q4_K_M) 7B 4.24GB 6.74GB Code Llama 13B Chat (GGUF Q4_K_M) 13B 8.06GB 10.56GB Phind Code Llama 34B Chat (GGUF Q4_K_M)...