2024-10-29 00:52:07 +08:00
---
license: other
pipeline_tag: text-generation
base_model: internlm/internlm2_5-20b-chat
model_creator: InternLM
model_name: internlm2_5-20b-chat
quantized_by: Second State Inc.
---
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# internlm2_5-20b-chat-GGUF
## Original Model
[internlm/internlm2_5-20b-chat ](https://huggingface.co/internlm/internlm2_5-20b-chat )
## Run with LlamaEdge
- LlamaEdge version: [v0.13.0 ](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.13.0 ) and above
- Prompt template
- Prompt type: `chatml`
- Prompt string
```text
< |im_start|>system
{system_message}< |im_end|>
< |im_start|>user
{prompt}< |im_end|>
< |im_start|>assistant
```
- Context size: `32000`
- Run as LlamaEdge service
- Chat
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:internlm2_5-20b-chat-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template chatml \
--ctx-size 32000 \
--model-name internlm2_5-20b-chat
```
- Tool use
```bash
wasmedge --dir .:. --nn-preload default:GGML:AUTO:internlm2_5-20b-chat-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template internlm-2-tool \
--ctx-size 32000 \
--model-name internlm2_5-20b-chat
```
- Run as LlamaEdge command app
```bash
wasmedge --dir .:. \
--nn-preload default:GGML:AUTO:internlm2_5-20b-chat-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template chatml \
--ctx-size 32000
```
## Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [internlm2_5-20b-chat-Q2_K.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q2_K.gguf ) | Q2_K | 2 | 7.55 GB| smallest, significant quality loss - not recommended for most purposes |
| [internlm2_5-20b-chat-Q3_K_L.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q3_K_L.gguf ) | Q3_K_L | 3 | 10.6 GB| small, substantial quality loss |
| [internlm2_5-20b-chat-Q3_K_M.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q3_K_M.gguf ) | Q3_K_M | 3 | 9.72 GB| very small, high quality loss |
| [internlm2_5-20b-chat-Q3_K_S.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q3_K_S.gguf ) | Q3_K_S | 3 | 8.76 GB| very small, high quality loss |
| [internlm2_5-20b-chat-Q4_0.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q4_0.gguf ) | Q4_0 | 4 | 11.3 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [internlm2_5-20b-chat-Q4_K_M.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q4_K_M.gguf ) | Q4_K_M | 4 | 12.0 GB| medium, balanced quality - recommended |
| [internlm2_5-20b-chat-Q4_K_S.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q4_K_S.gguf ) | Q4_K_S | 4 | 11.4 GB| small, greater quality loss |
| [internlm2_5-20b-chat-Q5_0.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q5_0.gguf ) | Q5_0 | 5 | 13.7 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [internlm2_5-20b-chat-Q5_K_M.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q5_K_M.gguf ) | Q5_K_M | 5 | 14.1 GB| large, very low quality loss - recommended |
| [internlm2_5-20b-chat-Q5_K_S.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q5_K_S.gguf ) | Q5_K_S | 5 | 13.7 GB| large, low quality loss - recommended |
| [internlm2_5-20b-chat-Q6_K.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q6_K.gguf ) | Q6_K | 6 | 16.3 GB| very large, extremely low quality loss |
| [internlm2_5-20b-chat-Q8_0.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-Q8_0.gguf ) | Q8_0 | 8 | 21.1 GB| very large, extremely low quality loss - not recommended |
| [internlm2_5-20b-chat-f16.gguf ](https://huggingface.co/second-state/internlm2_5-20b-chat-GGUF/blob/main/internlm2_5-20b-chat-f16.gguf ) | f16 | 16 | 39.7 GB| |
*Quantized with llama.cpp b3499*