Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible F16 Ggml Gguf Instruct Mistral Q6 Quantized Region:us Safetensors Sft Sharded Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/dmitrii-a-lex/Mistral-7B-v0.2-csn-SFT
Mistral 7B V0.2 Csn SFT 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 V0.2 Csn SFT Parameters and Internals
| LLM Name | Mistral 7B V0.2 Csn SFT |
| Repository 🤗 | https://huggingface.co/dmitrii-a-lex/Mistral-7B-v0.2-csn-SFT |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2025-03-24 |
| Maintainer | dmitrii-a-lex |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | ggml|q6|gguf |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.42.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 7B V0.2 Csn SFT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Instruct 16bit | 32K / 0.4 GB | 15 | 0 |
| Filiberto 7B Instruct Exp1 | 32K / 14.5 GB | 41 | 0 |
| MistralMusic | 32K / 14.4 GB | 41 | 1 |
| BioMistral 7B DARE GGUF | 32K / 2.7 GB | 396 | 10 |
| ...ns Extraction Lora Merged GGUF | 32K / 5.1 GB | 34 | 0 |
| Synatra 7B V0.3 RP GGUF | 32K / 4.4 GB | 19 | 8 |
| Mistral Turkish Gguf | 32K / 5.1 GB | 14 | 1 |
| Rag Tge Pl Bielik | 4K / 14.4 GB | 18 | 0 |
| Mistral 7B Instruct V0.2.gguf | 32K / 14.5 GB | 21 | 3 |
| Mistral 7B Instruct V0.2 GGUF | 32K / 4.4 GB | 75 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than dmitrii-a-lex/Mistral-7B-v0.2-csn-SFT .
Rank the Mistral 7B V0.2 Csn SFT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227