4-bit Autotrain compatible Awq Base model:migtissera/tess-7b-... Base model:quantized:migtisser... Chatml Conversational En Endpoints compatible Mistral Quantized Region:us Safetensors
Tess 7B V2.0 AWQ Benchmarks
ARC: 55.89 vs 96.7 (so35)-42.2%
HellaSwag: 76.66 vs 95.3 (gpt4)-19.6%
MMLU: 52.05 vs 88.3 (so35)-41.1%
TruthfulQA: 44.33 vs 59 (gpt4)-24.9%
WinoGrande: 67.64 vs 87.5 (gpt4)-22.7%
GSM8K: 24.87 vs 96.4 (so35)-74.2%
LLME Score: 0.2293
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 7B V2.0 AWQ Parameters and Internals
| LLM Name | Tess 7B V2.0 AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Tess-7B-v2.0-AWQ |
| Model Name | Tess-7B-v2.0 |
| Model Creator | migtissera |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2024-09-16 |
| Maintainer | solidrust |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Tess 7B V2.0 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 6 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 1625 | 2 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 48071 | 41 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 130 | 0 |
| ...ybaraHermes 2.5 Mistral 7B AWQ | 32K / 4.2 GB | 6241 | 19 |
| Mahou 1.3a Mistral 7B AWQ | 32K / 4.2 GB | 21 | 1 |
| Ghost 7B Alpha AWQ | 32K / 4.2 GB | 5 | 0 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 7 | 0 |
| Mahou 1.3 Mistral 7B AWQ | 32K / 4.2 GB | 5 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Tess-7B-v2.0-AWQ .
Rank the Tess 7B V2.0 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803