Tessa-T1-3B-GGUF

Original Model

Tesslate/Tessa-T1-3B

Run with LlamaEdge

  • LlamaEdge version: v0.16.14 and above

  • Prompt template

    • Prompt type: chatml

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

      <|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

    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

    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 Q2_K 2 1.27 GB smallest, significant quality loss - not recommended for most purposes
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 Q3_K_M 3 1.59 GB very small, high quality loss
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 Q4_0 4 1.82 GB legacy; small, very high quality loss - prefer using Q3_K_M
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 Q4_K_S 4 1.83 GB small, greater quality loss
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 Q5_K_M 5 2.22 GB large, very low quality loss - recommended
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 Q6_K 6 2.54 GB very large, extremely low quality loss
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 f16 16 6.18 GB

Quantized with llama.cpp b4944

Downloads last month
294
GGUF
Model size
3.09B params
Architecture
qwen2
Hardware compatibility
Log In to view the estimation

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for second-state/Tessa-T1-3B-GGUF

Base model

Qwen/Qwen2.5-3B
Quantized
(5)
this model

Collection including second-state/Tessa-T1-3B-GGUF