Japanese Stablelm Instruct Gamma 7B GPTQ by TheBloke

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  Arxiv:2310.06825   4-bit   Autotrain compatible Base model:quantized:stability... Base model:stabilityai/japanes...   Gptq   Instruct   Ja   Japanese-stablelm   Mistral   Quantized   Region:us   Safetensors

Japanese Stablelm Instruct Gamma 7B GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Japanese Stablelm Instruct Gamma 7B GPTQ (TheBloke/japanese-stablelm-instruct-gamma-7B-GPTQ)
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Japanese Stablelm Instruct Gamma 7B GPTQ Parameters and Internals

Model Type 
mistral, text-generation, causal-lm
Use Cases 
Areas:
research, application-specific fine-tuning, commercial applications
Limitations:
Pre-training dataset may have contained offensive or inappropriate content
Considerations:
Exercise reasonable caution when using these models in production systems
Supported Languages 
Japanese (high proficiency)
Training Details 
Data Sources:
Japanese translation of the Databricks Dolly-15k dataset, Japanese translation of the subset of the Anthropic HH dataset, Wikinews subset of the izumi-lab/llm-japanese-dataset
Methodology:
fine-tuned on instruction-following datasets
Model Architecture:
auto-regressive language model based on the transformer decoder architecture
Safety Evaluation 
Ethical Considerations:
Pre-training dataset may have contained offensive or inappropriate content
Input Output 
Input Format:
Prompt format includes {prompt} and {input} to generate responses
Accepted Modalities:
text
Output Format:
Generated text responses
LLM NameJapanese Stablelm Instruct Gamma 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/japanese-stablelm-instruct-gamma-7B-GPTQ 
Model NameJapanese StableLM Instruct Gamma 7B
Model CreatorStability AI
Base Model(s)  ...ese Stablelm Instruct Gamma 7B   stabilityai/japanese-stablelm-instruct-gamma-7b
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesja
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Rank the Japanese Stablelm Instruct Gamma 7B GPTQ 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 v20241124