Chronos 33B Superhot 8K GPTQ by TheBloke

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Chronos 33B Superhot 8K GPTQ is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 16.9GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.08.

  4-bit   Chatbot   Custom code   Ext 8k   Gptq   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors   Storywriting

Chronos 33B 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").

Chronos 33B Superhot 8K GPTQ Parameters and Internals

Model Type 
auto-regressive language model, transformer
Use Cases 
Areas:
Research, Chatbot development, Storywriting
Applications:
Roleplay, Coding, Simple reasoning
Primary Use Cases:
Long-form text generation, Chatbot interaction
Limitations:
Not intended for downstream applications without risk evaluation, Possible generation of toxic or offensive content, incorrect or misleading information, Limited performance in languages other than English
Considerations:
Further risk evaluations and mitigations needed for downstream applications
Additional Notes 
There are discussions on using monkeypatch for extending context or using the setting `trust_remote_code=True`.
Supported Languages 
primary (English), others ()
Training Details 
Data Sources:
CCNet, C4, GitHub, Wikipedia, Books, ArXiv, Stack Exchange
Data Volume:
1.4T tokens
Methodology:
Quantization to 4bit
Context Length:
8192
Model Architecture:
Transformer
Safety Evaluation 
Methodologies:
tested with ExLlama, AutoGPTQ, Python using AutoGPTQ
Ethical Considerations:
Model reflects biases found on the Web as per the node's data collection For this we used a Kneser-Ney language model and a fastText linear classifier.
Responsible Ai Considerations 
Fairness:
biases from training data are reflected in model.
Transparency:
Description of methodology and training data.
Accountability:
No specific entity mentioned as accountable.
Mitigation Strategies:
Data filtered based on proximity to Wikipedia text and references.
Input Output 
Input Format:
Instruction format similar to Alpaca: ### Instruction: Your question.
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
For usage of increased context, modify config as needed for 4096 or 8192 context length.
Release Notes 
Version:
1
Notes:
Increased context size available through experimental GPTQ.
LLM NameChronos 33B Superhot 8K GPTQ
Repository 🤗https://huggingface.co/TheBloke/chronos-33b-superhot-8k-GPTQ 
Model Size33b
Required VRAM16.9 GB
Updated2026-06-30
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
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
LoRA ModelYes
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/chronos-33b-superhot-8k-GPTQ.

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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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Release v20260328a