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Qwen3 4B Toolcalling Gguf Codex by Manojb

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Qwen3 4B Toolcalling Gguf 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: 0.27.

  6gb-vram   Api-tools Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-instr...   Code-assistant   Codex   Conversational Dataset:salesforce/xlam-functi...   En   Endpoints compatible   Function-calling   Gguf   Instruct   Local-llm   Ollama   Openai-alternative   Quantized   Qwen3   Region:us   Safetensors   Tool-calling
Model Card on HF 🤗: https://huggingface.co/Manojb/Qwen3-4B-toolcalling-gguf-codex 

Qwen3 4B Toolcalling Gguf Codex Benchmarks

LLME Score: 0.27211
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Toolcalling Gguf Codex (Manojb/Qwen3-4B-toolcalling-gguf-codex)
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Qwen3 4B Toolcalling Gguf Codex Parameters and Internals

LLM NameQwen3 4B Toolcalling Gguf Codex
Repository 🤗https://huggingface.co/Manojb/Qwen3-4B-toolcalling-gguf-codex 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM4.3 GB
Updated2026-05-10
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 Version4.55.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|im_end|>
Vocabulary Size151936
Torch Data Typefloat32
Errorsreplace

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Fact Extractor Dev 1b256K / 8.1 GB410
...wen3 4B Instruct 2507 Bnb 4bit256K / 2.6 GB66645
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...4B Instruct 2507 4bit DWQ 2510256K / 2.3 GB3442
Note: green Score (e.g. "73.2") means that the model is better than Manojb/Qwen3-4B-toolcalling-gguf-codex.

Rank the Qwen3 4B Toolcalling Gguf Codex Capabilities

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Instruction Following and Task Automation  
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