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Japanese Stablelm Instruct Gamma 7B AWQ by TheBloke

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  Arxiv:2310.06825   4-bit   Autotrain compatible   Awq Base model:quantized:stability... Base model:stabilityai/japanes...   Instruct   Ja   Japanese-stablelm   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/japanese-stablelm-instruct-gamma-7B-AWQ 

Japanese Stablelm Instruct Gamma 7B AWQ Benchmarks

LLME Score: 0.11609
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 AWQ (TheBloke/japanese-stablelm-instruct-gamma-7B-AWQ)
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Japanese Stablelm Instruct Gamma 7B AWQ Parameters and Internals

Model Type 
causal-lm
Use Cases 
Areas:
Research, Commercial applications
Limitations:
The pre-training dataset may contain offensive content., Exercise caution when using in production systems., Not suitable for applications that may cause harm.
Additional Notes 
The model was fine-tuned by Fujiki Nakamura and the Language Team of Stability AI Japan.
Supported Languages 
ja (High)
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
Context Length:
4096
Hardware Used:
Hardware provided by Massed Compute
Model Architecture:
Auto-regressive language model based on the transformer decoder architecture
Input Output 
Input Format:
Japanese language instructions and inputs
Accepted Modalities:
text
Output Format:
text
LLM NameJapanese Stablelm Instruct Gamma 7B AWQ
Repository 🤗https://huggingface.co/TheBloke/japanese-stablelm-instruct-gamma-7B-AWQ 
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
AWQ QuantizationYes
Quantization Typeawq
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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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/japanese-stablelm-instruct-gamma-7B-AWQ.

Rank the Japanese Stablelm Instruct Gamma 7B 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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