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Japanese Stablelm Instruct Beta 7B GPTQ by TheBloke

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Japanese Stablelm Instruct Beta 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

  4-bit Base model:quantized:stability... Base model:stabilityai/japanes... Dataset:kunishou/databricks-do... Dataset:kunishou/hh-rlhf-49k-j...   Dataset:kunishou/oasst1-89k-ja   Gptq   Instruct   Ja   Japanese-stablelm   Llama   Quantized   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/TheBloke/japanese-stablelm-instruct-beta-7B-GPTQ 

Japanese Stablelm Instruct Beta 7B GPTQ Benchmarks

LLME Score: 0.1027
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 Beta 7B GPTQ (TheBloke/japanese-stablelm-instruct-beta-7B-GPTQ)
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Japanese Stablelm Instruct Beta 7B GPTQ Parameters and Internals

Model Type 
text-generation, causal-lm
Use Cases 
Areas:
research, commercial applications
Limitations:
model may generate inappropriate content
Considerations:
Exercise caution when using in sensitive applications.
Supported Languages 
ja (Japanese)
Training Details 
Data Sources:
kunishou/hh-rlhf-49k-ja, kunishou/databricks-dolly-15k-ja, kunishou/oasst1-89k-ja
Model Architecture:
Llama2-based transformer architecture
Input Output 
Input Format:
~~[INST] <> ใ‚ใชใŸใฏๅฝน็ซ‹ใคใ‚ขใ‚ทใ‚นใ‚ฟใƒณใƒˆใงใ™ใ€‚ <> {prompt} [/INST]
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Adjust generation parameters like temperature, top_p, etc., for optimal performance based on task.
LLM NameJapanese Stablelm Instruct Beta 7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/japanese-stablelm-instruct-beta-7B-GPTQ 
Model NameJapanese StableLM Instruct Beta 7B
Model CreatorStability AI
Base Model(s)  ...nese Stablelm Instruct Beta 7B   stabilityai/japanese-stablelm-instruct-beta-7b
Model Size7b
Required VRAM3.9 GB
Updated2026-03-29
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  3.9 GB
Supported Languagesja
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
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-beta-7B-GPTQ.

Rank the Japanese Stablelm Instruct Beta 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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