Youri 7B Sft Qa Context Jaqket AWQ by hotchpotch

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  Merged Model   4-bit   Autotrain compatible   Awq Dataset:hotchpotch/jaqket v1 q...   Instruct   Ja   Llama   Quantized   Region:us   Safetensors

Youri 7B Sft Qa Context Jaqket AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Youri 7B Sft Qa Context Jaqket AWQ (hotchpotch/youri-7b-sft-qa-context-jaqket-awq)

Youri 7B Sft Qa Context Jaqket AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
AutoGPTQ and AutoAWQ quantized versions available.
Supported Languages 
ja (unknown)
Training Details 
Data Sources:
hotchpotch/jaqket_v1_qa_wikija_context
Methodology:
fine-tuning
LLM NameYouri 7B Sft Qa Context Jaqket AWQ
Repository ๐Ÿค—https://huggingface.co/hotchpotch/youri-7b-sft-qa-context-jaqket-awq 
Merged ModelYes
Model Size7b
Required VRAM3.9 GB
Updated2024-12-22
Maintainerhotchpotch
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesja
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than hotchpotch/youri-7b-sft-qa-context-jaqket-awq.

Rank the Youri 7B Sft Qa Context Jaqket 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217