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OGNO 7B by paulml

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  Merged Model   Autotrain compatible Base model:eren23/dpo-binarize... Base model:liminerity/omningot...   Endpoints compatible Eren23/dpo-binarized-neutrixom...   Liminerity/omningotex-7b-slerp   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/paulml/OGNO-7B 

OGNO 7B Benchmarks

ARC: 73.12 vs 96.7 (so35)-24.4%
HellaSwag: 89 vs 95.3 (gpt4)-6.6%
MMLU: 64.59 vs 88.3 (so35)-26.9%
TruthfulQA: 76.52 vs 59 (gpt4)29.7%
WinoGrande: 84.69 vs 87.5 (gpt4)-3.2%
GSM8K: 70.13 vs 96.4 (so35)-27.3%
LLME Score: 0.16988
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OGNO 7B (paulml/OGNO-7B)

OGNO 7B Parameters and Internals

Model Type 
text-generation
LLM NameOGNO 7B
Repository 🤗https://huggingface.co/paulml/OGNO-7B 
Base Model(s)  Omningotex 7B Slerp   DPO Binarized NeutrixOmnibe 7B   liminerity/Omningotex-7b-slerp   eren23/dpo-binarized-NeutrixOmnibe-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-03-12
Maintainerpaulml
Model Typemistral
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 GB: 8-of-8
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the OGNO 7B

Model
Likes
Downloads
VRAM
OGNO 7B GGUF21382 GB

Best Alternatives to OGNO 7B

Best Alternatives
Context / RAM
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Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB262615
MegaBeam Mistral 7B 512K512K / 14.4 GB414550
SpydazWeb AI HumanAI RP512K / 14.4 GB111
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB382316
Hebrew Mistral 7B 200K256K / 30 GB2260615
Astral 256K 7B V2250K / 14.4 GB140
Astral 256K 7B250K / 14.4 GB60
Test001128K / 14.5 GB90
Note: green Score (e.g. "73.2") means that the model is better than paulml/OGNO-7B.

Rank the OGNO 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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