What are the hardware requirements for Shed Coder 0.2?

Shed Coder 0.2 requires approximately 9.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Shed Coder 0.2 and how large is it?

Shed Coder 0.2 is developed by VortexHunter23, a model with 14b 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 Shed Coder 0.2?

Shed Coder 0.2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Shed Coder 0.2 by VortexHunter23 — VRAM 9.9GB, 128K context

Name: Shed Coder 0.2
Author: VortexHunter23

Shed Coder 0.2 is an open-source language model by VortexHunter23. Features: 14b LLM, VRAM: 9.9GB, Context: 128K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.18.

4-bit 4bit Bitsandbytes Codegen Conversational En Endpoints compatible Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/VortexHunter23/Shed-Coder-0.2

Shed Coder 0.2 Parameters and Internals

LLM Name	Shed Coder 0.2
Repository 🤗	https://huggingface.co/VortexHunter23/Shed-Coder-0.2
Base Model(s)	unsloth/deepseek-r1-distill-qwen-14b-bnb-4bit unsloth/deepseek-r1-distill-qwen-14b-bnb-4bit
Model Size	14b
Required VRAM	9.9 GB
Updated	2026-08-05
Maintainer	VortexHunter23
Model Type	qwen2
Model Files	5.0 GB: 1-of-2 4.9 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizerFast
Padding Token	<\|vision_pad\|>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Shed Coder 0.2 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 Shed Coder 0.2

Best Alternatives	Context / RAM	Downloads	Likes
CogitoZ14	32K / 29.7 GB	25	1
Strand Rust Coder 14B V1 4bit	32K / 8.3 GB	56	1
....5 Coder 14B Instruct Bnb 4bit	32K / 9.9 GB	21134	5
UIGEN T1.1 Qwen 14B	32K / 29.7 GB	1130	32
Qwen 14B Codefourchan	32K / 29.7 GB	2	1
...wen2.5 Coder 14B Instruct 4bit	32K / 8.3 GB	2879	8
UIGEN T1.1 Qwen 14B	32K / 29.7 GB	95	41
Qwen2.5 Coder 14B Bnb 4bit	32K / 9.9 GB	1398	6
UIGEN T1.2 Tailwind 14B	32K / 29.7 GB	4	1
Korean QWEN Coder2.5 14B	32K / 29.7 GB	19	4

Note: green Score (e.g. "73.2") means that the model is better than VortexHunter23/Shed-Coder-0.2.