Synatra 7B V0.3 RP GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:maywell/synatra-7b-... Base model:quantized:maywell/s...   Conversational   Gptq   Ko   Mistral   Quantized   Region:us   Safetensors

Synatra 7B V0.3 RP GPTQ Benchmarks

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 RP GPTQ (TheBloke/Synatra-7B-v0.3-RP-GPTQ)
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Synatra 7B V0.3 RP GPTQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Synatra-7B-v0.3-RP is a personal project developed by one individual. The model follows the ChatML format.
Supported Languages 
ko (native)
Training Details 
Hardware Used:
A6000 48GB * 8
Input Output 
Input Format:
ChatML
LLM NameSynatra 7B V0.3 RP GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Synatra-7B-v0.3-RP-GPTQ 
Model NameSynatra 7B V0.3 RP
Model CreatorJeonghwan Park
Base Model(s)  maywell/Synatra-7B-v0.3-RP   maywell/Synatra-7B-v0.3-RP
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesko
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synatra-7B-v0.3-RP-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124