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Swallow 7B Hf by tokyotech-llm

 »  All LLMs  »  tokyotech-llm  »  Swallow 7B Hf   URL Share it on

  4597   
  Arxiv:2404.17733   Arxiv:2404.17790   Autotrain compatible   En   Endpoints compatible   Ja   Llama   Pytorch   Region:us   Safetensors   Sharded

Swallow 7B Hf Benchmarks

LLME Score: 0.21367
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Swallow 7B Hf Parameters and Internals

LLM NameSwallow 7B Hf
Repository 🤗https://huggingface.co/tokyotech-llm/Swallow-7b-hf 
Model Size7b
Required VRAM13.7 GB
Updated2024-09-16
Maintainertokyotech-llm
Model Typellama
Model Files  10.0 GB: 1-of-2   3.7 GB: 2-of-2
Supported Languagesen ja
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.33.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size43176
Torch Data Typebfloat16
Swallow 7B Hf (tokyotech-llm/Swallow-7b-hf)

Quantized Models of the Swallow 7B Hf

Model
Likes
Downloads
VRAM
Swallow 7B GGUF41642 GB
Swallow 7B GPTQ1134 GB
Swallow 7B AWQ074 GB

Best Alternatives to Swallow 7B Hf

Best Alternatives
Context / RAM
Downloads
Likes
...1M 1000000ctx AEZAKMI 3 1 17021024K / 13.5 GB641
Yarn Llama 2 7B 128K128K / 13.5 GB108738
LLaMA 7B PoSE YaRN 128K128K / 13.5 GB83
LLaMA 7B PoSE Linear 96K96K / 27 GB82
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB81
Chat Llama2 7B 80K80K / 13.8 GB70
Llama2 7B 80K80K / 13.8 GB60
Lloma Step40064K / 13.5 GB550
Lloma Step20064K / 13.5 GB590
Lloma Step5064K / 13.5 GB550
Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Swallow-7b-hf.

Rank the Swallow 7B Hf Capabilities

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Release v2024072803
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