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Mistral Kimiko CSFT by Chat-Error

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  Autotrain compatible   Endpoints compatible   Ggml   Gguf   Mistral   Q5   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Chat-Error/Mistral-Kimiko-CSFT 

Mistral Kimiko CSFT Benchmarks

LLME Score: 0.14874
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Kimiko CSFT (Chat-Error/Mistral-Kimiko-CSFT)

Mistral Kimiko CSFT Parameters and Internals

LLM NameMistral Kimiko CSFT
Repository 🤗https://huggingface.co/Chat-Error/Mistral-Kimiko-CSFT 
Model Size7.2b
Required VRAM14.4 GB
Updated2025-04-04
MaintainerChat-Error
Model Typemistral
Model Files  4.0 GB   5.1 GB   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q5|gguf|q5_k
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Mistral Kimiko CSFT

Model
Likes
Downloads
VRAM
Claude Kimiko11410 GB

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Note: green Score (e.g. "73.2") means that the model is better than Chat-Error/Mistral-Kimiko-CSFT.

Rank the Mistral Kimiko CSFT Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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