Mistral 2 7B Fine Tune Custom Data Gguf by maridze

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  Autotrain compatible   Endpoints compatible   F16   Ggml   Gguf   Mistral   Pytorch   Q4   Quantized   Region:us   Sharded

Mistral 2 7b Fine Tune Custom Data Gguf Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 2 7B Fine Tune Custom Data Gguf (maridze/Mistral_2_7b_fine_tune_custom_data_gguf)
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Mistral 2 7B Fine Tune Custom Data Gguf Parameters and Internals

LLM NameMistral 2 7b Fine Tune Custom Data Gguf
Repository ๐Ÿค—https://huggingface.co/maridze/Mistral_2_7b_fine_tune_custom_data_gguf 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainermaridze
Model Typemistral
Model Files  5.4 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2   3.8 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than maridze/Mistral_2_7b_fine_tune_custom_data_gguf.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124