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Mistral V0.3 6B by pszemraj

 »  All LLMs  »  pszemraj  »  Mistral V0.3 6B   URL Share it on

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  Autotrain compatible   Axolotl Base model:finetune:pszemraj/m... Base model:pszemraj/mistral-7b... Dataset:bee-spoke-data/knowled...   En   Endpoints compatible   Generated from trainer   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/pszemraj/Mistral-v0.3-6B 

Mistral V0.3 6B Benchmarks

MMLU Pro: 12.7
GPQA: 2.01
MUSR: 6.61
BBH: 13.52
IFEval: 24.54 vs 88 (so35)-72.1%
ARC: 45.14 vs 96.7 (so35)-53.3%
HellaSwag: 71.65 vs 95.3 (gpt4)-24.8%
MMLU: 51.83 vs 88.3 (so35)-41.3%
TruthfulQA: 45.64 vs 59 (gpt4)-22.6%
WinoGrande: 72.77 vs 87.5 (gpt4)-16.8%
GSM8K: 8.34 vs 96.4 (so35)-91.3%
MATH Lvl 5: 0.91
LLME Score: 0.25127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral V0.3 6B (pszemraj/Mistral-v0.3-6B)

Mistral V0.3 6B Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is fine-tuned with Axolotl and built with pruning techniques to optimize for model size and performance on specific tasks.
Training Details 
Data Sources:
BEE-spoke-data/knowledge-inoc-concat-v1
Data Volume:
smorgasbord-tb-quality
Context Length:
4096
Model Architecture:
MistralForCausalLM
LLM NameMistral V0.3 6B
Repository 🤗https://huggingface.co/pszemraj/Mistral-v0.3-6B 
Base Model(s)  pszemraj/Mistral-7B-v0.3-prune6   pszemraj/Mistral-7B-v0.3-prune6
Model Size7b
Required VRAM11.9 GB
Updated2025-01-24
Maintainerpszemraj
Model Typemistral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.9 GB: 3-of-3   0.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than pszemraj/Mistral-v0.3-6B.

Rank the Mistral V0.3 6B 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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Release v20241227
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