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UltraQwen 7B by Locutusque

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  Autotrain compatible Base model:finetune:qwen/qwen-...   Base model:qwen/qwen-7b   Conversational Dataset:huggingfaceh4/ultracha...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Locutusque/UltraQwen-7B 

UltraQwen 7B Benchmarks

ARC: 51.71 vs 96.7 (so35)-46.5%
HellaSwag: 77.93 vs 95.3 (gpt4)-18.2%
MMLU: 59.16 vs 88.3 (so35)-33%
TruthfulQA: 48.2 vs 59 (gpt4)-18.3%
WinoGrande: 73.95 vs 87.5 (gpt4)-15.5%
GSM8K: 44.05 vs 96.4 (so35)-54.3%
LLME Score: 0.15274
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UltraQwen 7B (Locutusque/UltraQwen-7B)
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UltraQwen 7B Parameters and Internals

Additional Notes 
This model has not been aligned with DPO. Future versions aligned with DPO will be released using various datasets.
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
Data Volume:
100,000 examples
LLM NameUltraQwen 7B
Repository 🤗https://huggingface.co/Locutusque/UltraQwen-7B 
Base Model(s)  Qwen 7B   Qwen/Qwen-7B
Model Size7b
Required VRAM15.4 GB
Updated2025-10-19
MaintainerLocutusque
Model Typellama
Model Files  2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   2.0 GB: 5-of-8   2.0 GB: 6-of-8   2.0 GB: 7-of-8   1.6 GB: 8-of-8
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the UltraQwen 7B

Model
Likes
Downloads
VRAM
UltraQwen 7B GGUF2993 GB

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Note: green Score (e.g. "73.2") means that the model is better than Locutusque/UltraQwen-7B.

Rank the UltraQwen 7B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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