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NeuralMonarch 7B by mlabonne

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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: 0.25988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

NeuralMonarch 7B Parameters and Internals

LLM NameNeuralMonarch 7B
Repository 🤗https://huggingface.co/mlabonne/NeuralMonarch-7B 
Base Model(s)  Monarch 7B   mlabonne/Monarch-7B
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
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
NeuralMonarch 7B (mlabonne/NeuralMonarch-7B)

Quantized Models of the NeuralMonarch 7B

Model
Likes
Downloads
VRAM
AlphaMonarch 7B 2bit HQQ752 GB
AlphaMonarch 7B AWQ174 GB
AlphaMonarch 7B GPTQ3294 GB
AlphaMonarch 7B AWQ2114 GB

Best Alternatives to NeuralMonarch 7B

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MegaBeam Mistral 7B 512K512K / 14.4 GB5688838
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Hebrew Mistral 7B 200K256K / 30 GB270415
Astral 256K 7B V2250K / 14.4 GB80
Astral 256K 7B250K / 14.4 GB70
Test001128K / 14.5 GB250
Test002128K / 29 GB180
Buddhi 128K Chat 7B128K / 14.4 GB16715
LuminRP 7B 128K V0.2128K / 14.4 GB140
Note: green Score (e.g. "73.2") means that the model is better than mlabonne/NeuralMonarch-7B.

Rank the NeuralMonarch 7B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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