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Mistralic 7B 1 by SkunkworksAI

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  Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/SkunkworksAI/Mistralic-7B-1 

Mistralic 7B 1 Benchmarks

ARC: 60.84 vs 96.7 (so35)-37.1%
HellaSwag: 82.29 vs 95.3 (gpt4)-13.7%
MMLU: 60.8 vs 88.3 (so35)-31.1%
TruthfulQA: 52.38 vs 59 (gpt4)-11.2%
WinoGrande: 77.03 vs 87.5 (gpt4)-12%
GSM8K: 11.07 vs 96.4 (so35)-88.5%
LLME Score: 0.13532
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistralic 7B 1 (SkunkworksAI/Mistralic-7B-1)
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Mistralic 7B 1 Parameters and Internals

Model Type 
causal
Additional Notes 
Special thanks to Together Compute for sponsoring Skunkworks with compute.
Input Output 
Input Format:
Generated Instruction with optional input format
Accepted Modalities:
text
Output Format:
text
LLM NameMistralic 7B 1
Repository 🤗https://huggingface.co/SkunkworksAI/Mistralic-7B-1 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
MaintainerSkunkworksAI
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Mistralic 7B 1

Model
Likes
Downloads
VRAM
Mistralic 7B 1 GGUF73913 GB
Mistralic 7B 1 GPTQ694 GB
Mistralic 7B 1 AWQ264 GB

Best Alternatives to Mistralic 7B 1

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB14118
MegaBeam Mistral 7B 512K512K / 14.4 GB890850
SpydazWeb AI HumanAI RP512K / 14.4 GB171
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB809216
Hebrew Mistral 7B 200K256K / 30 GB131615
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than SkunkworksAI/Mistralic-7B-1.

Rank the Mistralic 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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