Model Card on HF 🤗: https://huggingface.co/TheBloke/Tess-M-v1.2-GGUF
Tess M V1.2 GGUF Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Tess M V1.2 GGUF Parameters and Internals
| Model Type |
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| Additional Notes |
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| Input Output |
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| LLM Name | Tess M V1.2 GGUF |
| Repository 🤗 | https://huggingface.co/TheBloke/Tess-M-v1.2-GGUF |
| Model Name | Tess M V1.2 |
| Model Creator | Migel Tissera |
| Base Model(s) | |
| Required VRAM | 14.6 GB |
| Updated | 2025-09-23 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | AutoModel |
| License | other |
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| GOAT Llama3.1 V0.1 | 0K / 0.2 GB | 2 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tess-M-v1.2-GGUF .
Rank the Tess M V1.2 GGUF Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124