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Swallow 70B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:tokyotech... Base model:tokyotech-llm/swall...   En   Gptq   Ja   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Swallow-70B-GPTQ 

Swallow 70B GPTQ Benchmarks

LLME Score: 0.12371
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 70B GPTQ (TheBloke/Swallow-70B-GPTQ)
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Swallow 70B GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
The Swallow 70B model has been enhanced for Japanese with significant improvements in JCommonsenseQA, JEMHopQA, NIILC, JSQuAD, MGSM, and WMT20 benchmark tasks.
Supported Languages 
Japanese (high), English (high)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
The Swallow model has undergone continuous pre-training from the Llama 2 family, primarily with the addition of Japanese language data.
Model Architecture:
Refer to LLaMA-2 technical report for details on the model architecture.
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
LLM NameSwallow 70B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Swallow-70B-GPTQ 
Model NameSwallow 70B
Model Creatortokyotech-llm
Base Model(s)  Swallow 70B Hf   tokyotech-llm/Swallow-70b-hf
Model Size70b
Required VRAM35.7 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  35.7 GB
Supported Languagesen ja
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLLaMAForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size43176
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-70B-GPTQ.

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