4-bit Autotrain compatible Awq Conversational Endpoints compatible Mistral Quantized Region:us Safetensors
Mistroll 7B 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)
Mistroll 7B AWQ Parameters and Internals
| LLM Name | Mistroll 7B AWQ |
| Repository 🤗 | https://huggingface.co/austinm2151/Mistroll-7B-AWQ |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2024-09-07 |
| Maintainer | austinm2151 |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | float16 |
Best Alternatives to Mistroll 7B 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 | 2928 | 2 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 48232 | 41 |
| ...ybaraHermes 2.5 Mistral 7B AWQ | 32K / 4.2 GB | 7969 | 17 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 146 | 0 |
| Mahou 1.3a Mistral 7B AWQ | 32K / 4.2 GB | 45 | 1 |
| Ghost 7B Alpha AWQ | 32K / 4.2 GB | 8 | 0 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 9 | 0 |
| Mahou 1.3 Mistral 7B AWQ | 32K / 4.2 GB | 5 | 0 |
| Tess 7B V2.0 AWQ | 32K / 4.2 GB | 6 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than austinm2151/Mistroll-7B-AWQ .
Rank the Mistroll 7B AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803