Swallow 70B AWQ by TheBloke

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

Swallow 70B AWQ Benchmarks

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

Swallow 70B AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Text generation
Additional Notes 
Swallow model versions range from 7B to 70B, focusing mainly on Japanese-English bilingual tasks. The model employs advanced quantization techniques for efficient inference.
Supported Languages 
en (English), ja (Japanese)
Training Details 
Data Sources:
Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
Continual pre-training and instruction tuning using datasets like Anthropic HH-RLHF and Databricks Dolly 15-k.
Context Length:
4096
Model Architecture:
Llama-2 architecture based, with a Japanese vocabulary extended tokenizer.
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Efficient text generation with Japanese input due to optimized tokenizer. For fast inference, GPU usage is recommended.
LLM NameSwallow 70B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Swallow-70B-AWQ 
Model NameSwallow 70B
Model Creatortokyotech-llm
Base Model(s)  Swallow 70B Hf   tokyotech-llm/Swallow-70b-hf
Model Size70b
Required VRAM37 GB
Updated2025-03-13
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   7.2 GB: 4-of-4
Supported Languagesen ja
AWQ QuantizationYes
Quantization Typeawq
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 Typefloat16

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

Rank the Swallow 70B AWQ Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227