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Swallow 70B Instruct GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:tokyotech... Base model:tokyotech-llm/swall...   En   Gptq   Instruct   Ja   Llama   Quantized   Region:us   Safetensors

Swallow 70B Instruct GPTQ Benchmarks

LLME Score: 0.17774
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 Parameters and Internals

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
Updated2024-09-16
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
Swallow 70B Instruct GPTQ (TheBloke/Swallow-70B-instruct-GPTQ)

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...ama 3.1 70B Instruct Gptq 4bit128K / 39.9 GB3214
Meta Llama 3 70B Instruct GPTQ8K / 39.8 GB116417
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...a Llama 3 70B Instruct GPTQ 8B8K / 5 GB2670
...ama 3 Taiwan 70B Instruct GPTQ8K / 39.8 GB192
...erkrautLM 70B Instruct GPTQ 8B8K / 5 GB1571
...g Llama 3 70B Instruct GPTQ 8B8K / 5 GB31
...Llama 3 70B Instruct GPTQ Int48K / 39.8 GB1046
...g Llama 3 70B Instruct GPTQ 4B8K / 9.9 GB50
...SauerkrautLM 70B Instruct GPTQ8K / 39.8 GB553
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  
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Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
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Release v2024072803
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