---
base_model: Tesslate/Tessa-T1-3B
license: apache-2.0
model_creator: Tesslate
model_name: Tessa-T1-3B
quantized_by: Second State Inc.
language:
- en
---

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# Tessa-T1-3B-GGUF

## Original Model

[Tesslate/Tessa-T1-3B](https://huggingface.co/Tesslate/Tessa-T1-3B)

## Run with LlamaEdge

- LlamaEdge version: [v0.16.14](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.14) and above

- Prompt template

  - Prompt type: `chatml`

    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    ```

  - Prompt type: `chatml-think`
 
    ```text
    <|im_start|>system
    {system_message}<|im_end|>
    <|im_start|>user
    {prompt}<|im_end|>
    <|im_start|>assistant
    <|im_start|>think
    ```

- Context size: `32000`

- Run as LlamaEdge service

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Tessa-T1-3B-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Tessa-T1-3B \
    --prompt-template chatml \
    --ctx-size 32000

  # Think mode
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Tessa-T1-3B-Q5_K_M.gguf \
    llama-api-server.wasm \
    --model-name Tessa-T1-3B \
    --prompt-template chatml-think \
    --ctx-size 32000
  ```

- Run as LlamaEdge command app

  ```bash
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Tessa-T1-3B-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml \
    --ctx-size 32000

  # Think mode
  wasmedge --dir .:. --nn-preload default:GGML:AUTO:Tessa-T1-3B-Q5_K_M.gguf \
    llama-chat.wasm \
    --prompt-template chatml-think \
    --ctx-size 32000
  ```

## Quantized GGUF Models

| Name | Quant method | Bits | Size | Use case |
| ---- | ---- | ---- | ---- | ----- |
| [Tessa-T1-3B-Q2_K.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q2_K.gguf)     | Q2_K   | 2 | 1.27 GB| smallest, significant quality loss - not recommended for most purposes |
| [Tessa-T1-3B-Q3_K_L.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q3_K_L.gguf) | Q3_K_L | 3 | 1.71 GB| small, substantial quality loss |
| [Tessa-T1-3B-Q3_K_M.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q3_K_M.gguf) | Q3_K_M | 3 | 1.59 GB| very small, high quality loss |
| [Tessa-T1-3B-Q3_K_S.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q3_K_S.gguf) | Q3_K_S | 3 | 1.45 GB| very small, high quality loss |
| [Tessa-T1-3B-Q4_0.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q4_0.gguf)     | Q4_0   | 4 | 1.82 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
| [Tessa-T1-3B-Q4_K_M.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q4_K_M.gguf) | Q4_K_M | 4 | 1.93 GB| medium, balanced quality - recommended |
| [Tessa-T1-3B-Q4_K_S.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q4_K_S.gguf) | Q4_K_S | 4 | 1.83 GB| small, greater quality loss |
| [Tessa-T1-3B-Q5_0.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q5_0.gguf)     | Q5_0   | 5 | 2.17 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
| [Tessa-T1-3B-Q5_K_M.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q5_K_M.gguf) | Q5_K_M | 5 | 2.22 GB| large, very low quality loss - recommended |
| [Tessa-T1-3B-Q5_K_S.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q5_K_S.gguf) | Q5_K_S | 5 | 2.17 GB| large, low quality loss - recommended |
| [Tessa-T1-3B-Q6_K.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q6_K.gguf)     | Q6_K   | 6 | 2.54 GB| very large, extremely low quality loss |
| [Tessa-T1-3B-Q8_0.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-Q8_0.gguf)     | Q8_0   | 8 | 3.29 GB| very large, extremely low quality loss - not recommended |
| [Tessa-T1-3B-f16.gguf](https://huggingface.co/second-state/Tessa-T1-3B-GGUF/blob/main/Tessa-T1-3B-f16.gguf)       | f16    | 16 | 6.18 GB| |

*Quantized with llama.cpp b4944*