Crystal Think V1.0 by sizzlebop

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  Autotrain compatible Base model:adapter:qwen/qwen3-...   Base model:qwen/qwen3-4b   Conversational Dataset:nvidia/openmathreasoni...   En   Endpoints compatible   Finetuned   Grpo   Lora   Math   Mathematical-reasoning   Qwen3   Reasoning   Region:us   Safetensors   Sharded   Tensorflow

Crystal Think V1.0 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Crystal Think V1.0 (sizzlebop/crystal-think-v1.0)
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Crystal Think V1.0 Parameters and Internals

LLM NameCrystal Think V1.0
Repository ๐Ÿค—https://huggingface.co/sizzlebop/crystal-think-v1.0 
Base Model(s)  Qwen/Qwen3-4B   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2025-06-24
Maintainersizzlebop
Model Files  0.3 GB   5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length40960
Is Biasednone
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|k_proj|v_proj|gate_proj|q_proj|o_proj|down_proj
LoRA Alpha64
LoRA Dropout0
R Param32
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than sizzlebop/crystal-think-v1.0.

Rank the Crystal Think V1.0 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  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124