What are the hardware requirements for Strand Rust Coder 14B V1 4bit?

Strand Rust Coder 14B V1 4bit requires approximately 8.3 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 4bit and how large is it?

Strand Rust Coder 14B V1 4bit is developed by mlx-community, 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 4bit?

Strand Rust Coder 14B V1 4bit 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 4bit by mlx-community — VRAM 8.3GB, 32K context

Name: Strand Rust Coder 14B V1 4bit
Author: mlx-community

Strand Rust Coder 14B V1 4bit is an open-source language model by mlx-community. Features: 14b LLM, VRAM: 8.3GB, Context: 32K, License: apache-2.0, Quantized, Code Generating, LLM Explorer Score: 0.23.

4-bit 4bit Base model:fortytwo-network/st... Base model:quantized:fortytwo-... Codegen Conversational Dataset:fortytwo-network/stran... Mlx Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Strand-Rust-Coder-14B-v1-4bit

Strand Rust Coder 14B V1 4bit Parameters and Internals

LLM Name	Strand Rust Coder 14B V1 4bit
Repository 🤗	https://huggingface.co/mlx-community/Strand-Rust-Coder-14B-v1-4bit
Base Model(s)	Strand Rust Coder 14B V1 Fortytwo-Network/Strand-Rust-Coder-14B-v1
Model Size	14b
Required VRAM	8.3 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	qwen2
Model Files	5.3 GB: 1-of-2 3.0 GB: 2-of-2
Quantization Type	4bit
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 4bit 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 Strand Rust Coder 14B V1 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Shed Coder 0.2	128K / 9.9 GB	16	0
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
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 mlx-community/Strand-Rust-Coder-14B-v1-4bit.