What are the hardware requirements for Qwen3 4B Toolcalling Gguf Codex?

Qwen3 4B Toolcalling Gguf Codex requires approximately 4.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 4B Toolcalling Gguf Codex and how large is it?

Qwen3 4B Toolcalling Gguf Codex is developed by Manojb, a model with 4b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen3 4B Toolcalling Gguf Codex?

Qwen3 4B Toolcalling Gguf Codex is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 4B Toolcalling Gguf Codex by Manojb — VRAM 4.3GB, 256K context

Name: Qwen3 4B Toolcalling Gguf Codex
Author: Manojb

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: 0.23.

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 Parameters and Internals

LLM Name	Qwen3 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 Size	4b
Required VRAM	4.3 GB
Updated	2026-08-05
Maintainer	Manojb
Model Type	qwen3
Instruction-Based	Yes
Model Files	4.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 4B Toolcalling Gguf Codex capabilities

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Instruction Following and Task Automation
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Best Alternatives to Qwen3 4B Toolcalling Gguf Codex

Best Alternatives	Context / RAM	Downloads	Likes
...B Toolcall Gguf Llamacpp Codex	256K / 4.3 GB	1304	9
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	116366	17
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
Qwen3 4B INST Code	256K / 8.1 GB	17	0
Qwen3 4B INST Math	256K / 8.1 GB	17	0
...Instruct Haiku 4.5 Merged FP16	256K / 8.1 GB	16	1
Agent 4b	256K / 8.1 GB	16	0
...wen3 4B Instruct 2507 Bnb 4bit	256K / 2.6 GB	6833	5

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