Tulu 13B SuperHOT 8K GPTQ by TheBloke

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  Arxiv:2301.13688   Arxiv:2302.13971   Arxiv:2304.03277   Arxiv:2304.07327   Arxiv:2306.04751   4-bit   Autotrain compatible   Custom code   Ext 8k   Gptq   Llama   Quantized   Region:us   Safetensors

Tulu 13B SuperHOT 8K GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tulu 13B SuperHOT 8K GPTQ (TheBloke/Tulu-13B-SuperHOT-8K-GPTQ)
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Tulu 13B SuperHOT 8K GPTQ Parameters and Internals

Model Type 
LLaMa, instruction tuning
Training Details 
Data Sources:
FLAN V2, CoT, Dolly, Open Assistant 1, GPT4-Alpaca, Code-Alpaca, ShareGPT
Methodology:
Finetuned on a mixture of instruction datasets.
Input Output 
Input Format:
<|user|> Your message here! <|assistant>
Performance Tips:
There should be a newline after <|assistant|>. This appears to be very important for getting this model to respond correctly.
LLM NameTulu 13B SuperHOT 8K GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Tulu-13B-SuperHOT-8K-GPTQ 
Model Size13b
Required VRAM7.5 GB
Updated2025-08-18
MaintainerTheBloke
Model Typellama
Model Files  7.5 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-13B-SuperHOT-8K-GPTQ.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124