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Mistral 16bit GGUF Maths Dataset Akh by UKV

 »  All LLMs  »  UKV  »  Mistral 16bit GGUF Maths Dataset Akh   URL Share it on

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  16bit   Autotrain compatible   Endpoints compatible   Gguf   Mistral   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/UKV/mistral_16bit_GGUF_maths_dataset_akh 

Mistral 16bit GGUF Maths Dataset Akh Benchmarks

LLME Score: 0.17676
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Mistral 16bit GGUF Maths Dataset Akh Parameters and Internals

LLM NameMistral 16bit GGUF Maths Dataset Akh
Repository 🤗https://huggingface.co/UKV/mistral_16bit_GGUF_maths_dataset_akh 
Model Size7b
Required VRAM28.4 GB
Updated2025-06-11
MaintainerUKV
Model Typemistral
Model Files  14.5 GB   4.8 GB: 1-of-6   4.8 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.0 GB: 6-of-6
GGUF QuantizationYes
Quantization Typegguf|16bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16
Mistral 16bit GGUF Maths Dataset Akh (UKV/mistral_16bit_GGUF_maths_dataset_akh)

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Note: green Score (e.g. "73.2") means that the model is better than UKV/mistral_16bit_GGUF_maths_dataset_akh.

Rank the Mistral 16bit GGUF Maths Dataset Akh Capabilities

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