Mistral 7B Openorca Cot 2157 is an open-source language model by caisarl76. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, Quantized, LLM Explorer Score: 0.1.
Model Card on HF 🤗: https://huggingface.co/caisarl76/Mistral-7B-Openorca-cot-2157
Mistral 7B Openorca Cot 2157 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 Openorca Cot 2157 Parameters and Internals
| LLM Name | Mistral 7B Openorca Cot 2157 |
| Repository 🤗 | https://huggingface.co/caisarl76/Mistral-7B-Openorca-cot-2157 |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-04-01 |
| Maintainer | caisarl76 |
| 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 | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 7B Openorca Cot 2157
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Smaugv0.1 6.0bpw H6 EXL2 | 195K / 26.4 GB | 2 | 4 |
| Smaugv0.1 5.0bpw H6 EXL2 | 195K / 22.3 GB | 4 | 3 |
| Smaugv0.1 3.0bpw H6 EXL2 | 195K / 13.9 GB | 4 | 1 |
| Smaugv0.1 4.0bpw H6 EXL2 | 195K / 18 GB | 3 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 195K / 20.8 GB | 3 | 1 |
| Smaugv0.1 8.0bpw H8 EXL2 | 195K / 34.9 GB | 3 | 1 |
| DeepSeek Prover V2 7B 4bit | 64K / 3.9 GB | 28 | 4 |
| Mistral 7B Openplatypus 1K | 32K / 29 GB | 1814 | 0 |
| Mistral 7B OpenOrca 1K | 32K / 29 GB | 1811 | 3 |
| ...rnlm2 20B Llama 4.0bpw H6 EXL2 | 32K / 11 GB | 1 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than caisarl76/Mistral-7B-Openorca-cot-2157 .
Rank the Mistral 7B Openorca Cot 2157 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a