What are the hardware requirements for Code Think Q4b 20260908?

Code Think Q4b 20260908 requires approximately 8.8 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 Code Think Q4b 20260908 and how large is it?

Code Think Q4b 20260908 is developed by modrill, 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 Code Think Q4b 20260908?

Code Think Q4b 20260908 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Code Think Q4b 20260908 by modrill — VRAM 8.8GB, 32K context

Name: Code Think Q4b 20260908
Author: modrill

Code Think Q4b 20260908 is an open-source language model by modrill. Features: 4b LLM, VRAM: 8.8GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.31.

Arxiv:2502.12143 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-base Code Conversational Endpoints compatible Livecodebench Lora Lora-merged Qwen3 Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/modrill/code-think-q4b-20260908

Code Think Q4b 20260908 Parameters and Internals

LLM Name	Code Think Q4b 20260908
Repository 🤗	https://huggingface.co/modrill/code-think-q4b-20260908
Base Model(s)	Qwen3 4B Base Qwen/Qwen3-4B-Base
Model Size	4b
Required VRAM	8.8 GB
Updated	2026-09-11
Maintainer	modrill
Model Type	qwen3
Model Files	8.8 GB
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
LoRA Model	Yes
Errors	replace

Rank the Code Think Q4b 20260908 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 Code Think Q4b 20260908

Best Alternatives	Context / RAM	Downloads	Likes
GRPO 4 70	256K / 8.1 GB	11	0
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
...2.5 Flash Lite Preview Distill	256K / 8.1 GB	31	1
Lightning 4B	256K / 8.1 GB	13	6
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Checkpoint 8000	256K / 8.1 GB	1453	0
Fable Traces	256K / 8.1 GB	338	210
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78

Note: green Score (e.g. "73.2") means that the model is better than modrill/code-think-q4b-20260908.