Autotrain compatible Endpoints compatible F16 Ggml Gguf Mistral Pytorch Q8 Quantized Region:us Sharded
Model Card on HF 🤗: https://huggingface.co/maridze/Mistral_2_7b_fine_tune_custom_data_gguf_v2
Mistral 2 7b Fine Tune Custom Data Gguf V2 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 2 7B Fine Tune Custom Data Gguf V2 Parameters and Internals
| LLM Name | Mistral 2 7b Fine Tune Custom Data Gguf V2 |
| Repository 🤗 | https://huggingface.co/maridze/Mistral_2_7b_fine_tune_custom_data_gguf_v2 |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2025-09-15 |
| Maintainer | maridze |
| Model Type | mistral |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | gguf|ggml|q8 |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mistral 2 7B Fine Tune Custom Data Gguf V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistrilitary 7B | 32K / 7.7 GB | 70 | 21 |
| Mistral Scary Story Finetune | 32K / 14.5 GB | 32 | 0 |
| Mistral 7B V0.2 Csn SFT | 32K / 14.4 GB | 5 | 0 |
| Instruct 16bit | 32K / 0.4 GB | 6 | 0 |
| Merlinite 7B Ocp4.15 V0.3 | 32K / 14.5 GB | 5 | 0 |
| Shiftdocs 7B Ocp4.15 V0.3 | 32K / 14.5 GB | 6 | 0 |
| AzzurroQuantized | 32K / 4.4 GB | 333 | 4 |
| Merlinite 7B Ocp4.15 V0.1 | 32K / 4.4 GB | 9 | 0 |
| BioMistral 7B GGUF | 32K / 1 GB | 830 | 11 |
| Filiberto 7B Instruct Exp1 | 32K / 14.5 GB | 18 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than maridze/Mistral_2_7b_fine_tune_custom_data_gguf_v2 .
Rank the Mistral 2 7B Fine Tune Custom Data Gguf V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124