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Tessa-T1-3B-GGUF
second-state/Tessa-T1-3B-GGUF
Tessa-T1-3B-GGUF is a machine learning model from second-state. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
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Repo size
30.2 GB
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Repo makeup
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.gguf30.2 GB · 100%
At a glance
- License
- apache-2.0
- Model type
- qwen2
- Access
- Public
- Created
- Mar 25, 2025
- Updated
- Mar 25, 2025
- SHA
- 68b760bd
Base models
Model card
From the Hugging Face model README
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
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Tessa-T1-3B-GGUF
Original Model
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
- Type
- qwen2
- License
- apache-2.0
- Languages
- en
- Created
- Mar 25, 2025
- Updated
- Mar 25, 2025