metadata
inference: false
language:
- zh
- en
license: other
model_creator: Photolens
model_link: https://huggingface.co/Photolens/llama-2-7b-langchain-chat
model_name: llama-2-7b-langchain-chat
model_type: llama
pipeline_tag: text-generation
quantized_by: shaowenchen
tasks:
- text2text-generation
tags:
- meta
- gguf
- llama
- llama-2
- chinese
- 7b
Provided files
Name | Quant method | Size |
---|---|---|
llama-2-7b-langchain-chat.Q2_K.gguf | Q2_K | 2.6 GB |
llama-2-7b-langchain-chat.Q3_K.gguf | Q3_K | 3.1 GB |
llama-2-7b-langchain-chat.Q3_K_L.gguf | Q3_K_L | 3.3 GB |
llama-2-7b-langchain-chat.Q3_K_S.gguf | Q3_K_S | 2.7 GB |
llama-2-7b-langchain-chat.Q4_0.gguf | Q4_0 | 3.6 GB |
llama-2-7b-langchain-chat.Q4_1.gguf | Q4_1 | 3.9 GB |
llama-2-7b-langchain-chat.Q4_K.gguf | Q4_K | 3.8 GB |
llama-2-7b-langchain-chat.Q4_K_S.gguf | Q4_K_S | 3.6 GB |
llama-2-7b-langchain-chat.Q5_0.gguf | Q5_0 | 4.3 GB |
llama-2-7b-langchain-chat.Q5_1.gguf | Q5_1 | 4.7 GB |
llama-2-7b-langchain-chat.Q5_K.gguf | Q5_K | 4.5 GB |
llama-2-7b-langchain-chat.Q5_K_S.gguf | Q5_K_S | 4.3 GB |
llama-2-7b-langchain-chat.Q6_K.gguf | Q6_K | 5.1 GB |
llama-2-7b-langchain-chat.Q8_0.gguf | Q8_0 | 6.7 GB |
llama-2-7b-langchain-chat.gguf | full | 13 GB |
Provided images
Name | Quant method | Size |
---|---|---|
shaowenchen/llama-2-7b-langchain-chat-gguf:Q2_K | Q2_K | 6.72 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q3_K | Q3_K | 7.64 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q3_K_L | Q3_K_L | 8.27 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q3_K_S | Q3_K_S | 6.97 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q4_0 | Q4_0 | 8.55 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q4_1 | Q4_1 | 9.41 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q4_K | Q4_K | 9.17 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q4_K_S | Q4_K_S | 8.72 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q5_0 | Q5_0 | 10.4 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q5_K | Q5_K | 10.6 GB |
shaowenchen/llama-2-7b-langchain-chat-gguf:Q5_K_S | Q5_K_S | 10.4 GB |
Usage:
docker run --rm -p 8000:8000 shaowenchen/llama-2-7b-langchain-chat-gguf:Q2_K
and you can view http://localhost:8000/docs to see the swagger UI.