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Candle MistralTrix V1 by DanielClough

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  Merged Model   Autotrain compatible   Endpoints compatible   Gguf   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_MistralTrix-v1 

Candle MistralTrix V1 Benchmarks

LLME Score: 0.1481
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle MistralTrix V1 (DanielClough/Candle_MistralTrix-v1)
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Candle MistralTrix V1 Parameters and Internals

LLM NameCandle MistralTrix V1
Repository 🤗https://huggingface.co/DanielClough/Candle_MistralTrix-v1 
Merged ModelYes
Required VRAM17.9 GB
Updated2025-07-31
MaintainerDanielClough
Model Typemistral
Model Files  18.0 GB   3.0 GB   3.9 GB   5.1 GB   5.6 GB   5.1 GB   6.2 GB   6.7 GB   6.2 GB   7.4 GB   9.6 GB   10.1 GB   10.3 GB   4.9 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   3.1 GB: 4-of-4
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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MHENN4 GGUF32K / 4.4 GB70
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_MistralTrix-v1.

Rank the Candle MistralTrix V1 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 v20241124
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