What are the hardware requirements for Strand Rust Coder 14B V1?

Strand Rust Coder 14B V1 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 Strand Rust Coder 14B V1 and how large is it?

Strand Rust Coder 14B V1 is developed by Fortytwo-Network, 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 Strand Rust Coder 14B V1?

Strand Rust Coder 14B V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Strand Rust Coder 14B V1 by Fortytwo-Network — VRAM 29.7GB, 32K context

Name: Strand Rust Coder 14B V1
Author: Fortytwo-Network

Strand Rust Coder 14B V1 is an open-source language model by Fortytwo-Network. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.23.

Arxiv:2409.08386 Arxiv:2510.24801 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational Dataset:fortytwo-network/stran... Deploy:azure Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Fortytwo-Network/Strand-Rust-Coder-14B-v1

Strand Rust Coder 14B V1 Parameters and Internals

LLM Name	Strand Rust Coder 14B V1
Repository 🤗	https://huggingface.co/Fortytwo-Network/Strand-Rust-Coder-14B-v1
Base Model(s)	Qwen/Qwen2.5-Coder-14B-Instruct Qwen/Qwen2.5-Coder-14B-Instruct
Model Size	14b
Required VRAM	29.7 GB
Updated	2026-07-11
Maintainer	Fortytwo-Network
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
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.56.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Strand Rust Coder 14B V1 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

Quantized Models of the Strand Rust Coder 14B V1

Model	Likes	Downloads	VRAM
Strand Rust Coder 14B V1 4bit	1	56	8 GB

Best Alternatives to Strand Rust Coder 14B V1

Best Alternatives	Context / RAM	Downloads	Likes
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
ZYH LLM Qwen2.5 14B V5	986K / 29.7 GB	12	8
Qwen2.5 14B YOYO V5	986K / 29.7 GB	10	4
Mergekit Model Stock Ggfjmyf	986K / 29.7 GB	14	0
Mergekit Model Stock Injkqri	986K / 29.7 GB	5	1
...1 DeepSeekR1 Coder 14B Preview	128K / 29.7 GB	9	3
Tessa T1 14B	117K / 29.7 GB	6	13
UIGEN T1.5 14B	117K / 29.7 GB	8	6

Note: green Score (e.g. "73.2") means that the model is better than Fortytwo-Network/Strand-Rust-Coder-14B-v1.