What are the hardware requirements for Qwen 14B Codefourchan?

Qwen 14B Codefourchan requires approximately 29.7 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 Qwen 14B Codefourchan and how large is it?

Qwen 14B Codefourchan is developed by wassname, 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 Qwen 14B Codefourchan?

Qwen 14B Codefourchan is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 14B Codefourchan by wassname — VRAM 29.7GB, 32K context

Name: Qwen 14B Codefourchan
Author: wassname

Qwen 14B Codefourchan is an open-source language model by wassname. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

4bit Autotrain compatible Codegen Conversational Dataset:cognitivecomputations/... Dataset:open-r1/big-math-rl-ve... Dataset:open-r1/verifiable-cod... Dataset:v2ray/4chan Dataset:wassname/ultrachat 200... En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/wassname/qwen-14B-codefourchan

Qwen 14B Codefourchan Parameters and Internals

LLM Name	Qwen 14B Codefourchan
Repository 🤗	https://huggingface.co/wassname/qwen-14B-codefourchan
Base Model(s)	unsloth/qwen2.5-coder-14b-instruct-bnb-4bit unsloth/qwen2.5-coder-14b-instruct-bnb-4bit
Model Size	14b
Required VRAM	29.7 GB
Updated	2025-10-29
Maintainer	wassname
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 5.0 GB: 4-of-6 5.0 GB: 5-of-6 4.7 GB: 6-of-6
Supported Languages	en
Quantization Type	4bit
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	152064
Torch Data Type	float16

Rank the Qwen 14B Codefourchan 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 Qwen 14B Codefourchan

Best Alternatives	Context / RAM	Downloads	Likes
CogitoZ14	32K / 29.7 GB	25	1
....5 Coder 14B Instruct Bnb 4bit	32K / 9.9 GB	21134	5
UIGEN T1.1 Qwen 14B	32K / 29.7 GB	1130	32
...wen2.5 Coder 14B Instruct 4bit	32K / 8.3 GB	2879	8
UIGEN T1.1 Qwen 14B	32K / 29.7 GB	95	41
UIGEN T1.2 Tailwind 14B	32K / 29.7 GB	4	1
Korean QWEN Coder2.5 14B	32K / 29.7 GB	19	4
ZYH LLM Qwen2.5 14B V4	986K / 29.7 GB	27	8
Qwen2.5 14B YOYO V4	986K / 29.7 GB	20	5
ZYH LLM Qwen2.5 14B V2	986K / 29.7 GB	14	1

Note: green Score (e.g. "73.2") means that the model is better than wassname/qwen-14B-codefourchan.