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Cypher 7B by aloobun

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  Merged Model   Autotrain compatible Base model:cognitivecomputatio... Base model:nousresearch/nous-h...   Conversational   Endpoints compatible   Mistral   Nous   Region:us   Safetensors   Samantha   Sharded   Tensorflow   Westlake
Model Card on HF 🤗: https://huggingface.co/aloobun/Cypher-7B 

Cypher 7B Benchmarks

ARC: 69.45 vs 96.7 (so35)-28.2%
HellaSwag: 86.27 vs 95.3 (gpt4)-9.5%
MMLU: 64.47 vs 88.3 (so35)-27%
TruthfulQA: 61.55 vs 59 (gpt4)4.3%
WinoGrande: 82.32 vs 87.5 (gpt4)-5.9%
GSM8K: 66.26 vs 96.4 (so35)-31.3%
LLME Score: 0.18661
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cypher 7B (aloobun/Cypher-7B)

Cypher 7B Parameters and Internals

Training Details 
Methodology:
SLERP merge method
Model Architecture:
Merged from NousResearch/Nous-Hermes-2-Mistral-7B-DPO and cognitivecomputations/samantha-1.1-westlake-7b-laser
LLM NameCypher 7B
Repository 🤗https://huggingface.co/aloobun/Cypher-7B 
Base Model(s)  Nous Hermes 2 Mistral 7B DPO   cognitivecomputations/samantha-1.1-westlake-7b-laser   NousResearch/Nous-Hermes-2-Mistral-7B-DPO   cognitivecomputations/samantha-1.1-westlake-7b-laser
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-22
Maintaineraloobun
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licensecc
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than aloobun/Cypher-7B.

Rank the Cypher 7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Release v20241227
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