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Candle Mistral 7B Instruct V0.1 by DanielClough

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Candle Mistral 7B Instruct V0.1 is an open-source language model by DanielClough. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, HF Score: 57.8, LLM Explorer Score: 0.13, Arc: 54.7, HellaSwag: 75.7, MMLU: 55.4, TruthfulQA: 56.3, WinoGrande: 73.6, GSM8K: 31.2.

  Endpoints compatible   Gguf   Instruct   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_Mistral-7B-Instruct-v0.1 

Candle Mistral 7B Instruct V0.1 Benchmarks

ARC: 54.69 vs 96.7 (so35)-43.4%
HellaSwag: 75.69 vs 95.3 (gpt4)-20.6%
MMLU: 55.4 vs 88.3 (so35)-37.3%
TruthfulQA: 56.28 vs 59 (gpt4)-4.6%
WinoGrande: 73.64 vs 87.5 (gpt4)-15.8%
GSM8K: 31.24 vs 96.4 (so35)-67.6%
LLME Score: 0.1318
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Candle Mistral 7B Instruct V0.1 (DanielClough/Candle_Mistral-7B-Instruct-v0.1)
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Candle Mistral 7B Instruct V0.1 Parameters and Internals

Additional Notes 
The model is available in .gguf and .safetensors formats, compatible with Huggingface/Candle.
LLM NameCandle Mistral 7B Instruct V0.1
Repository 🤗https://huggingface.co/DanielClough/Candle_Mistral-7B-Instruct-v0.1 
Base Model(s)  itpossible/Chinese-Mistral-7B-Instruct-v0.1   itpossible/Chinese-Mistral-7B-Instruct-v0.1
Model Size7b
Required VRAM14.4 GB
Updated2026-04-10
MaintainerDanielClough
Model Typemistral
Instruction-BasedYes
Model Files  14.5 GB   2.4 GB   3.1 GB   4.1 GB   4.5 GB   4.1 GB   5.0 GB   5.4 GB   5.0 GB   5.9 GB   7.7 GB   8.2 GB   8.3 GB   9.9 GB: 1-of-2   4.5 GB: 2-of-2
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

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Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB1761
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...tral 7B V0.3 Chinese Chat 4bit32K / 4.1 GB502
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Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Mistral-7B-Instruct-v0.1.

Rank the Candle Mistral 7B Instruct V0.1 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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