Mistral 7B OP U1k Ver0.6 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)
Mistral 7B OP U1k Ver0.6 Parameters and Internals
| LLM Name | Mistral 7B OP U1k Ver0.6 |
| Repository 🤗 | https://huggingface.co/MNC-Jihun/Mistral-7B-OP-u1k-ver0.6 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-17 |
| Maintainer | MNC-Jihun |
| Model Type | llama |
| Model Files | |
| Quantization Type | 32bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 7B OP U1k Ver0.6
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 3 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 3 | 3 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 5 | 1 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 1 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 1 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 3 | 1 |
| Mistral 7B Openplatypus 1K | 32K / 29 GB | 1172 | 0 |
| Mistral 7B OpenOrca 1K | 32K / 29 GB | 1148 | 3 |
| Mistral 7B A U0.5 B2 Ver0.4 | 32K / 14.4 GB | 4052 | 0 |
| ...rnlm2 20B Llama 4.0bpw H6 EXL2 | 32K / 11 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than MNC-Jihun/Mistral-7B-OP-u1k-ver0.6 .
Rank the Mistral 7B OP U1k Ver0.6 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803