metadata

base_model: baichuan-inc/Baichuan2-13B-Chat
inference: false
library_name: transformers
license: other
model_creator: Baichuan Intelligent Technology
model_name: Baichuan2 13B Chat
model_type: baichuan
tasks:
  - text-generation
quantized_by: Second State Inc.
language:
  - en
  - zh

Baichuan2-13B-Chat-GGUF

Original Model

baichuan-inc/Baichuan2-13B-Chat

Run with LlamaEdge

LlamaEdge version: v0.2.11 and above

Prompt template

Prompt type: baichuan-2

Prompt string

以下内容为人类用户与与一位智能助手的对话。

用户:你好！
助手:

Reverse prompt: 用户:

Context size: 5120

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Baichuan2-13B-Chat-Q5_K_M.gguf llama-api-server.wasm -p baichuan-2 -r '用户:'

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Baichuan2-13B-Chat-Q5_K_M.gguf llama-chat.wasm -p baichuan-2 -r '用户:'

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Baichuan2-13B-Chat-Q2_K.gguf	Q2_K	2	5.93 GB	smallest, significant quality loss - not recommended for most purposes
Baichuan2-13B-Chat-Q3_K_L.gguf	Q3_K_L	3	7.67 GB	small, substantial quality loss
Baichuan2-13B-Chat-Q3_K_M.gguf	Q3_K_M	3	7.24 GB	very small, high quality loss
Baichuan2-13B-Chat-Q3_K_S.gguf	Q3_K_S	3	6.77 GB	very small, high quality loss
Baichuan2-13B-Chat-Q4_0.gguf	Q4_0	4	7.99 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Baichuan2-13B-Chat-Q4_K_M.gguf	Q4_K_M	4	9.00 GB	medium, balanced quality - recommended
Baichuan2-13B-Chat-Q4_K_S.gguf	Q4_K_S	4	8.37 GB	small, greater quality loss
Baichuan2-13B-Chat-Q5_0.gguf	Q5_0	5	9.64 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Baichuan2-13B-Chat-Q5_K_M.gguf	Q5_K_M	5	10.3 GB	large, very low quality loss - recommended
Baichuan2-13B-Chat-Q5_K_S.gguf	Q5_K_S	5	9.82 GB	large, low quality loss - recommended
Baichuan2-13B-Chat-Q6_K.gguf	Q6_K	6	12.1 GB	very large, extremely low quality loss
Baichuan2-13B-Chat-Q8_0.gguf	Q8_0	8	14.8 GB	very large, extremely low quality loss - not recommended

Quantized with llama.cpp b1953