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Swallow 70B Instruct GPTQ by TheBloke

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Swallow 70B Instruct GPTQ is an open-source language model by TheBloke. Features: 70b LLM, VRAM: 35.7GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

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

Swallow 70B Instruct GPTQ Benchmarks

LLME Score: 0.10853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 70B Instruct GPTQ (TheBloke/Swallow-70B-instruct-GPTQ)
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Swallow 70B Instruct GPTQ Parameters and Internals

Model Type 
llama
Use Cases 
Limitations:
Not tuned to ensure outputs align with human intent and safety considerations.
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
Continual Pre-Training
Model Architecture:
LLaMA-2
Input Output 
Input Format:
以下に、あるタスクを説明する指示があります。リクエストを適切に完了するための回答を記述してください。 ### 指示: {prompt} ### 応答:
LLM NameSwallow 70B Instruct GPTQ
Repository 🤗https://huggingface.co/TheBloke/Swallow-70B-instruct-GPTQ 
Model NameSwallow 70B Instruct
Model Creatortokyotech-llm
Base Model(s)  Swallow 70B Instruct Hf   tokyotech-llm/Swallow-70b-instruct-hf
Model Size70b
Required VRAM35.7 GB
Updated2026-04-26
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
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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...erkrautLM 70B Instruct GPTQ 8B8K / 74.4 GB61
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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-70B-instruct-GPTQ.

Rank the Swallow 70B Instruct GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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