Qwen3 4B Toolcall Gguf Llamacpp Codex by Manojb

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Qwen3 4B Toolcall Gguf Llamacpp Codex is an open-source language model by Manojb. Features: 4b LLM, VRAM: 4.3GB, Context: 256K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  4gb-vram   8-bit   Api-tools Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr...   Code-assistant   Codex   Conversational   Custom code Dataset:salesforce/xlam-functi...   En   Endpoints compatible   Function-calling   Gguf   Instruct   Llama-cpp   Local-llm   Openai-alternative   Quantized   Qwen   Qwen3   Region:us   Safetensors   Tool-calling

Qwen3 4B Toolcall Gguf Llamacpp Codex Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Toolcall Gguf Llamacpp Codex (Manojb/Qwen3-4b-toolcall-gguf-llamacpp-codex)
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Qwen3 4B Toolcall Gguf Llamacpp Codex Parameters and Internals

LLM NameQwen3 4B Toolcall Gguf Llamacpp Codex
Repository ๐Ÿค—https://huggingface.co/Manojb/Qwen3-4b-toolcall-gguf-llamacpp-codex 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM4.3 GB
Updated2026-04-08
MaintainerManojb
Model Typeqwen3
Instruction-BasedYes
Model Files  4.3 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length262144
Model Max Length262144
Transformers Version4.45.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Manojb/Qwen3-4b-toolcall-gguf-llamacpp-codex.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Release v20260328a