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Synatra 7B V0.3 DPO GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:maywell/synatra-7b-... Base model:quantized:maywell/s...   Conversational   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Synatra-7B-v0.3-dpo-GPTQ 

Synatra 7B V0.3 DPO GPTQ Benchmarks

LLME Score: 0.14872
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 GPTQ (TheBloke/Synatra-7B-v0.3-dpo-GPTQ)

Synatra 7B V0.3 DPO GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Various quantization parameters are available to optimize for hardware efficiency.
Training Details 
Data Sources:
A100 80GB * 1
Methodology:
ChatML format and Alpaca(No-Input) format
Context Length:
4096
Input Output 
Input Format:
ChatML format
LLM NameSynatra 7B V0.3 DPO GPTQ
Repository 🤗https://huggingface.co/TheBloke/Synatra-7B-v0.3-dpo-GPTQ 
Model NameSynatra 7B V0.3 dpo
Model CreatorJeonghwan Park
Base Model(s)  maywell/Synatra-7B-v0.3-dpo   maywell/Synatra-7B-v0.3-dpo
Model Size7b
Required VRAM4.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
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 TheBloke/Synatra-7B-v0.3-dpo-GPTQ.

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