---
license: apache-2.0
pipeline_tag: text-generation
base_model: internlm/internlm3-8b-instruct
model_creator: InternLM
model_name: internlm3-8b-instruct
quantized_by: Second State Inc.
---

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# internlm3-8b-instruct-GGUF

## Original Model

[internlm/internlm3-8b-instruct](https://huggingface.co/internlm/internlm3-8b-instruct)

## Run with LlamaEdge

- LlamaEdge version: [v0.16.1](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.1) 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: `128000`

- Run as LlamaEdge service

  - Chat

    ```bash
    wasmedge --dir .:. --nn-preload default:GGML:AUTO:internlm3-8b-instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template chatml \
      --ctx-size 128000 \
      --model-name internlm3-8b-instruct
    ```

  - Tool use

    ```bash
    wasmedge --dir .:. --nn-preload default:GGML:AUTO:internlm3-8b-instruct-Q5_K_M.gguf \
      llama-api-server.wasm \
      --prompt-template internlm-2-tool \
      --ctx-size 128000 \
      --model-name internlm3-8b-instruct
    ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. \
    --nn-preload default:GGML:AUTO:internlm3-8b-instruct-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 32000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [internlm3-8b-instruct-Q2_K.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q2_K.gguf)     | Q2_K   | 2 | 3.45 GB| smallest, significant quality loss - not recommended for most purposes |
| [internlm3-8b-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 4.73 GB| small, substantial quality loss |
| [internlm3-8b-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 4.39 GB| very small, high quality loss |
| [internlm3-8b-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 3.99 GB| very small, high quality loss |
| [internlm3-8b-instruct-Q4_0.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q4_0.gguf)     | Q4_0   | 4 | 5.09 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [internlm3-8b-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 5.36 GB| medium, balanced quality - recommended |
| [internlm3-8b-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 5.12 GB| small, greater quality loss |
| [internlm3-8b-instruct-Q5_0.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q5_0.gguf)     | Q5_0   | 5 | 6.13 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [internlm3-8b-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 6.26 GB| large, very low quality loss - recommended |
| [internlm3-8b-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 6.13 GB| large, low quality loss - recommended |
| [internlm3-8b-instruct-Q6_K.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q6_K.gguf)     | Q6_K   | 6 | 7.23 GB| very large, extremely low quality loss |
| [internlm3-8b-instruct-Q8_0.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-Q8_0.gguf)     | Q8_0   | 8 | 9.36 GB| very large, extremely low quality loss - not recommended |
| [internlm3-8b-instruct-f16.gguf](https://huggingface.co/second-state/internlm3-8b-instruct-GGUF/blob/main/internlm3-8b-instruct-f16.gguf)       | f16    | 16 | 17.6 GB|  |

*Quantized with llama.cpp b4497*