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Swallow 7B Instruct AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:tokyotech... Base model:tokyotech-llm/swall...   En   Instruct   Ja   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Swallow-7B-Instruct-AWQ 

Swallow 7B Instruct AWQ Benchmarks

LLME Score: 0.16116
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow 7B Instruct AWQ (TheBloke/Swallow-7B-Instruct-AWQ)

Swallow 7B Instruct AWQ Parameters and Internals

LLM NameSwallow 7B Instruct AWQ
Repository 🤗https://huggingface.co/TheBloke/Swallow-7B-Instruct-AWQ 
Model NameSwallow 7B Instruct
Model Creatortokyotech-llm
Base Model(s)  Swallow 7B Instruct Hf   tokyotech-llm/Swallow-7b-instruct-hf
Model Size7b
Required VRAM4.1 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  4.1 GB
Supported Languagesen ja
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size43176
Torch Data Typefloat16

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Llama 2 7B 32K Instruct AWQ32K / 3.9 GB222
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Llama 2 7B Ft Instruct Es AWQ4K / 3.9 GB171
...i 7B Sft Qa Context Jaqket AWQ4K / 3.9 GB241
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Swallow-7B-Instruct-AWQ.

Rank the Swallow 7B Instruct AWQ 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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Release v20241217
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