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NeuralMonarch 7B by mlabonne

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  Autotrain compatible Base model:finetune:mlabonne/m...   Base model:mlabonne/monarch-7b   Conversational   Dpo   En   Endpoints compatible   Lazymergekit   Merge   Mistral   Model-index   Region:us   Rlhf   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlabonne/NeuralMonarch-7B 

NeuralMonarch 7B Benchmarks

ARC: 73.21 vs 96.7 (so35)-24.3%
HellaSwag: 89.09 vs 95.3 (gpt4)-6.5%
MMLU: 64.41 vs 88.3 (so35)-27.1%
TruthfulQA: 77.79 vs 59 (gpt4)31.8%
WinoGrande: 84.61 vs 87.5 (gpt4)-3.3%
GSM8K: 67.78 vs 96.4 (so35)-29.7%
LLME Score: 0.22638
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeuralMonarch 7B (mlabonne/NeuralMonarch-7B)

NeuralMonarch 7B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
instruction following, reasoning tasks
Applications:
chat/RP models with strong reasoning abilities
Additional Notes 
Special thanks to contributors Jon Durbin, Intel, and Argilla for the preference datasets. See the demo at Hugging Face Spaces.
Training Details 
Data Sources:
jondurbin/truthy-dpo-v0.1, argilla/distilabel-intel-orca-dpo-pairs
Methodology:
DPO fine-tuning using preference datasets and LazyMergekit.
Context Length:
8000
Input Output 
Performance Tips:
Use with the Mistral Instruct chat template for optimal performance.
LLM NameNeuralMonarch 7B
Repository 🤗https://huggingface.co/mlabonne/NeuralMonarch-7B 
Base Model(s)  Monarch 7B   mlabonne/Monarch-7B
Model Size7b
Required VRAM14.4 GB
Updated2025-02-05
Maintainermlabonne
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the NeuralMonarch 7B

Model
Likes
Downloads
VRAM
AlphaMonarch 7B AWQ1764 GB
AlphaMonarch 7B 2bit HQQ752 GB
AlphaMonarch 7B GPTQ364 GB
AlphaMonarch 7B AWQ264 GB

Best Alternatives to NeuralMonarch 7B

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Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB522710
MegaBeam Mistral 7B 512K512K / 14.4 GB655449
SpydazWeb AI HumanAI RP512K / 14.4 GB51
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB647215
Hebrew Mistral 7B 200K256K / 30 GB489915
Astral 256K 7B V2250K / 14.4 GB60
Astral 256K 7B250K / 14.4 GB50
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralMonarch-7B.

Rank the NeuralMonarch 7B 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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