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Japanese Stablelm Instruct Beta 70B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:stability... Base model:stabilityai/japanes... Dataset:kunishou/databricks-do... Dataset:kunishou/hh-rlhf-49k-j...   Dataset:kunishou/oasst1-89k-ja   Instruct   Ja   Japanese-stablelm   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/japanese-stablelm-instruct-beta-70B-AWQ 

Japanese Stablelm Instruct Beta 70B AWQ Benchmarks

LLME Score: 0.15017
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 70B AWQ (TheBloke/japanese-stablelm-instruct-beta-70B-AWQ)

Japanese Stablelm Instruct Beta 70B AWQ Parameters and Internals

Model Type 
llama, causal-lm
Use Cases 
Areas:
research, commercial applications
Considerations:
Exercise caution due to potential biases.
Additional Notes 
Various quantizations available for different hardware resources.
Supported Languages 
ja (Fluent)
Training Details 
Data Sources:
kunishou/hh-rlhf-49k-ja, kunishou/databricks-dolly-15k-ja, kunishou/oasst1-89k-ja
Methodology:
Decoder-only fine-tuning
Model Architecture:
Llama2 transformer architecture
Input Output 
Input Format:
Prompt formatted with instructions
Accepted Modalities:
text
Output Format:
Text generation strings
Performance Tips:
Modify generation configurations like 'top_p' and 'temperature'
LLM NameJapanese Stablelm Instruct Beta 70B AWQ
Repository 🤗https://huggingface.co/TheBloke/japanese-stablelm-instruct-beta-70B-AWQ 
Model NameJapanese StableLM Instruct Beta 70B
Model CreatorStability AI
Base Model(s)  ...ese Stablelm Instruct Beta 70B   stabilityai/japanese-stablelm-instruct-beta-70b
Model Size70b
Required VRAM36.6 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesja
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
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-70B-AWQ.

Rank the Japanese Stablelm Instruct Beta 70B 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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