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Tulu 30B SuperHOT 8K GPTQ by TheBloke

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  4-bit   Autotrain compatible   Custom code   Ext 8k   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Tulu-30B-SuperHOT-8K-GPTQ 

Tulu 30B SuperHOT 8K GPTQ Benchmarks

LLME Score: 0.1112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tulu 30B SuperHOT 8K GPTQ (TheBloke/Tulu-30B-SuperHOT-8K-GPTQ)

Tulu 30B SuperHOT 8K GPTQ Parameters and Internals

Model Type 
GPTQ 4bit
Additional Notes 
An experimental GPTQ offering up to 8K context size; requires specific loaders and settings for optimal use.
Input Output 
Performance Tips:
Using the full 8K context on a 30B model will exceed 24GB VRAM.
LLM NameTulu 30B SuperHOT 8K GPTQ
Repository 🤗https://huggingface.co/TheBloke/Tulu-30B-SuperHOT-8K-GPTQ 
Model Size30b
Required VRAM16.9 GB
Updated2025-02-22
MaintainerTheBloke
Model Typellama
Model Files  16.9 GB
GPTQ QuantizationYes
Context Length8k
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tulu-30B-SuperHOT-8K-GPTQ.

Rank the Tulu 30B SuperHOT 8K 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  
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Multi-Language Support and Translation  

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Release v20241227
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