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DCL Qwen3 4B Instruct 2507 by RichWoollcott

By RichWoollcott · 28 downloads

DCL Qwen3 4B Instruct 2507 is an open-source language model by RichWoollcott. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

  Architecture Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Capability-language   Code-generation   Conversational   Dcl   En   Instruct   Qlora   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth

DCL Qwen3 4B Instruct 2507 Parameters and Internals

LLM NameDCL Qwen3 4B Instruct 2507
Repository πŸ€—https://huggingface.co/RichWoollcott/DCL-Qwen3-4B-Instruct-2507 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-08-04
MaintainerRichWoollcott
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length262144
Model Max Length262144
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than RichWoollcott/DCL-Qwen3-4B-Instruct-2507.