4-bit Autotrain compatible Awq Base model:migtissera/tess-m-v... Base model:quantized:migtisser... Llama Quantized Region:us Safetensors Sharded Tensorflow
Tess M V1.3 AWQ 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 V1.3 AWQ Parameters and Internals
| LLM Name | Tess M V1.3 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Tess-M-v1.3-AWQ |
| Model Name | Tess M v1.3 |
| Model Creator | Migel Tissera |
| Base Model(s) | |
| Model Size | 5.4b |
| Required VRAM | 19.3 GB |
| Updated | 2024-09-07 |
| Maintainer | TheBloke |
| Model Type | llama |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | LlamaForCausalLM |
| License | other |
| Context Length | 200000 |
| Model Max Length | 200000 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 64002 |
| Torch Data Type | float16 |
Best Alternatives to Tess M V1.3 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Pallas 0.5 LASER 0.6 AWQ | 195K / 19.3 GB | 11 | 1 |
| Pallas 0.5 AWQ | 195K / 19.3 GB | 10 | 1 |
| Pallas 0.3 AWQ | 195K / 19.3 GB | 16 | 1 |
| Pallas 0.4 AWQ | 195K / 19.3 GB | 13 | 1 |
| Tess M V1.2 AWQ | 195K / 19.3 GB | 15 | 1 |
| Tess M V1.1 AWQ | 195K / 19.3 GB | 16 | 1 |
| Tess M Creative V1.0 AWQ | 195K / 19.3 GB | 14 | 1 |
| PiVoT SUS RP AWQ | 8K / 19.3 GB | 6 | 1 |
| UNA 34Beagles 32K Bf16 V1 GPTQ | 32K / 19.2 GB | 28 | 3 |
| Memepp Llama 512v 6l 8h 256e | 2K / 0 GB | 16 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tess-M-v1.3-AWQ .
Rank the Tess M V1.3 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803