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Candle Mistral 7B Instruct V0.2 by DanielClough

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Candle Mistral 7B Instruct V0.2 is an open-source language model by DanielClough. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24, ELO: 1072, Arc: 56.7, HellaSwag: 80.8, MMLU: 59.1, GSM8K: 37.6.

Dataset:mistralai/mistral-7b-i...   En   Endpoints compatible   Gguf   Instruct   Mistral   Q4   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DanielClough/Candle_Mistral-7B-Instruct-v0.2 

Candle Mistral 7B Instruct V0.2 Benchmarks

LMSys ELO: 1072 vs 1272 (so35)-15.7%
ARC: 56.74 vs 96.7 (so35)-41.3%
HellaSwag: 80.82 vs 95.3 (gpt4)-15.2%
MMLU: 59.1 vs 88.3 (so35)-33.1%
GSM8K: 37.6 vs 96.4 (so35)-61%
LLME Score: 0.23833
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 V0.2 (DanielClough/Candle_Mistral-7B-Instruct-v0.2)
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Candle Mistral 7B Instruct V0.2 Parameters and Internals

LLM NameCandle Mistral 7B Instruct V0.2
Repository 🤗https://huggingface.co/DanielClough/Candle_Mistral-7B-Instruct-v0.2 
Base Model(s)  Mistral 7B Orca DPO 2h   SC56/Mistral-7B-orca-dpo-2h
Model Size7b
Required VRAM14.4 GB
Updated2026-05-07
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   4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typeq4|gguf
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Candle Mistral 7B Instruct V0.2

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Mistral 7B Instruct V0.2.gguf32K / 14.5 GB173
Mistral 7B Instruct V0.2 GGUF32K / 4.4 GB352
Tamil Mistral 7B Instruct V0.132K / 14.8 GB24314
Mistral V0.3 7B Cybersecurity32K / 14.5 GB361
BioMistralMerged32K / 14.4 GB672
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB1951
Mistral 7B Instruct V0.3 GGUF32K / 2.7 GB1891
...tral 7B V0.3 Chinese Chat 8bit32K / 7.7 GB862
...tral 7B V0.3 Chinese Chat 4bit32K / 4.1 GB662
...stral 7B V0.3 Chinese Chat F1632K / 14.5 GB381
Note: green Score (e.g. "73.2") means that the model is better than DanielClough/Candle_Mistral-7B-Instruct-v0.2.

Rank the Candle Mistral 7B Instruct V0.2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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