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Synatra 7B V0.3 DPO EXL2 by IHaBiS

 »  All LLMs  »  IHaBiS  »  Synatra 7B V0.3 DPO EXL2   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Exl2   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/IHaBiS/Synatra-7B-v0.3-dpo-exl2 

Synatra 7B V0.3 DPO EXL2 Benchmarks

ARC: 62.8 vs 96.7 (so35)-35.1%
HellaSwag: 82.58 vs 95.3 (gpt4)-13.3%
MMLU: 61.46 vs 88.3 (so35)-30.4%
TruthfulQA: 56.46 vs 59 (gpt4)-4.3%
WinoGrande: 76.24 vs 87.5 (gpt4)-12.9%
GSM8K: 23.73 vs 96.4 (so35)-75.4%
LLME Score: 0.13978
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Synatra 7B V0.3 DPO EXL2 (IHaBiS/Synatra-7B-v0.3-dpo-exl2)
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Synatra 7B V0.3 DPO EXL2 Parameters and Internals

Training Details 
Methodology:
Uses ChatML format and Alpaca(No-Input) format
Hardware Used:
A100 80GB * 1
LLM NameSynatra 7B V0.3 DPO EXL2
Repository 🤗https://huggingface.co/IHaBiS/Synatra-7B-v0.3-dpo-exl2 
Base Model(s)  maywell/Synatra-7B-v0.3-dpo   maywell/Synatra-7B-v0.3-dpo
Model Size7b
Required VRAM7.4 GB
Updated2025-09-10
MaintainerIHaBiS
Model Typemistral
Model Files  7.4 GB
Quantization Typeexl2
Model ArchitectureMistralForCausalLM
Licensecc-by-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
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 IHaBiS/Synatra-7B-v0.3-dpo-exl2.

Rank the Synatra 7B V0.3 DPO EXL2 Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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