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Liberated Qwen1.5 72B EXL2 3.5bpw by JackCloudman

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Liberated Qwen1.5 72B EXL2 3.5bpw is an open-source language model by JackCloudman. Features: 72b LLM, VRAM: 34.1GB, Context: 32K, License: other, Quantized, LLM Explorer Score: 0.12.

  Autotrain compatible   Conversational   Dataset:abacusai/systemchat   Dataset:m-a-p/code-feedback Dataset:m-a-p/codefeedback-fil...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Exl2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/JackCloudman/Liberated-Qwen1.5-72B-exl2-3.5bpw 

Liberated Qwen1.5 72B EXL2 3.5bpw Benchmarks

LLME Score: 0.12371
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Liberated Qwen1.5 72B EXL2 3.5bpw (JackCloudman/Liberated-Qwen1.5-72B-exl2-3.5bpw)
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Liberated Qwen1.5 72B EXL2 3.5bpw Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Limitations:
No guardrails or censorship
Considerations:
You are advised to implement your own alignment layer before exposing the model as a service.
Additional Notes 
Future releases will focus on mixing this dataset with datasets used to train Smaug to combine properties of both models.
Training Details 
Data Sources:
teknium/OpenHermes-2.5, m-a-p/Code-Feedback, m-a-p/CodeFeedback-Filtered-Instruction, abacusai/SystemChat
Methodology:
It took 3 days to train 3 epochs on 8x H100s using qLoRA, deepspeed zero-2, and Axolotl. learning rate 2e-4.
Context Length:
8000
Training Time:
3 days
Hardware Used:
8x H100 GPUs
Model Architecture:
Based on Qwen1.5 with sequence length fine-tuning
Input Output 
Input Format:
ChatML prompt format
Output Format:
JSON object
LLM NameLiberated Qwen1.5 72B EXL2 3.5bpw
Repository 🤗https://huggingface.co/JackCloudman/Liberated-Qwen1.5-72B-exl2-3.5bpw 
Model Size72b
Required VRAM34.1 GB
Updated2025-07-28
MaintainerJackCloudman
Model Typeqwen2
Model Files  8.6 GB: 1-of-4   8.6 GB: 2-of-4   8.6 GB: 3-of-4   8.3 GB: 4-of-4
Supported Languagesen
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than JackCloudman/Liberated-Qwen1.5-72B-exl2-3.5bpw.

Rank the Liberated Qwen1.5 72B EXL2 3.5bpw Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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