What are the hardware requirements for Code Think Q8b 20260908?

Code Think Q8b 20260908 requires approximately 16.4 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 Q8b 20260908 and how large is it?

Code Think Q8b 20260908 is developed by modrill, a model with 8b 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 Q8b 20260908?

Code Think Q8b 20260908 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Code Think Q8b 20260908 by modrill — VRAM 16.4GB, 32K context

Name: Code Think Q8b 20260908
Author: modrill

Code Think Q8b 20260908 is an open-source language model by modrill. Features: 8b LLM, VRAM: 16.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b-base Code Conversational Endpoints compatible Livecodebench Lora Lora-merged Qwen3 Reasoning Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/modrill/code-think-q8b-20260908

Code Think Q8b 20260908 Parameters and Internals

LLM Name	Code Think Q8b 20260908
Repository 🤗	https://huggingface.co/modrill/code-think-q8b-20260908
Base Model(s)	Qwen3 8B Base Qwen/Qwen3-8B-Base
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-09-11
Maintainer	modrill
Model Type	qwen3
Model Files	16.4 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 Q8b 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 Q8b 20260908

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27

Note: green Score (e.g. "73.2") means that the model is better than modrill/code-think-q8b-20260908.