What are the hardware requirements for TINY THINKER INSTRUCT?

TINY THINKER INSTRUCT requires approximately 6.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TINY THINKER INSTRUCT and how large is it?

TINY THINKER INSTRUCT is developed by Shrijanagain, a model with 3b 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 TINY THINKER INSTRUCT?

TINY THINKER INSTRUCT is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TINY THINKER INSTRUCT by Shrijanagain — VRAM 6.2GB, 32K context

Name: TINY THINKER INSTRUCT
Author: Shrijanagain

TINY THINKER INSTRUCT is an open-source language model by Shrijanagain. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.29.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Codegen Conversational Dataset:shrijanagain/distillat... Distillation En Endpoints compatible Gguf Instruct Q4 Quantized Qwen Qwen2 Region:us Safetensors Sharded Shrijan Skt Tensorflow Thinker

Model Card on HF 🤗: https://huggingface.co/Shrijanagain/TINY-THINKER-INSTRUCT

TINY THINKER INSTRUCT Parameters and Internals

LLM Name	TINY THINKER INSTRUCT
Repository 🤗	https://huggingface.co/Shrijanagain/TINY-THINKER-INSTRUCT
Base Model(s)	Qwen/Qwen2.5-Coder-3B Qwen/Qwen2.5-Coder-3B
Model Size	3b
Required VRAM	6.2 GB
Updated	2026-07-24
Maintainer	Shrijanagain
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 1.2 GB: 2-of-2 1.9 GB 2.5 GB 3.3 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf\|q4\|q4_k
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.12.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the TINY THINKER INSTRUCT capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to TINY THINKER INSTRUCT

Best Alternatives	Context / RAM	Downloads	Likes
VibeThinker 3B Heretic	128K / 6.2 GB	1016	4
Coder GRPO 3B	32K / 6.2 GB	298	7
Tiny Agent A 3B	32K / 6.2 GB	526	24
Qwen Manim Animation 16bit	32K / 6.2 GB	497	0
...wen2.5 Coder 3B Instruct V13.1	32K / 6.2 GB	93	0
...2.5 Coder 3B Instruct Bnb 4bit	32K / 2 GB	18888	7
Qwen2.5 Coder 3B Instruct 4bit	32K / 1.7 GB	1621	2
Qwen3b Lora Finetune	32K / 6.2 GB	9	1
Qwen3b Lora Finetune	32K / 6.2 GB	0	1
Qwen2.5 0.5 Bnb 4bit	32K / 2 GB	23	1

Note: green Score (e.g. "73.2") means that the model is better than Shrijanagain/TINY-THINKER-INSTRUCT.