Fortytwo's Strand-Rust-Coder-14B

The first swarm-trained SLM. State-of-the-Art in Rust coding.
Built from a high-quality, community-created dataset.

Download the Model from Hugging Face

Strand-Rust-Coder-14B outperforms general models
over ten times its size on domain-specific Rust tasks

BENCHMARKRustEvo^2

MODELSCORE, %
Strand-Rust-Coder-14B-v143
deepseek/deepseek-chat41
qwen/qwen3-max40
openai/gpt4o-latest39
x-ai/grok-437
deepseek/deepseek-v3.1-terminus33
qwen/qwen-2.5-72b32
Qwen2.5-Coder-32B-Instruct31
anthropic/claude-3.7-sonnet31
Qwen2.5-Coder-14B-Instruct30
openai/gpt-5-codex28
google/gemini-2.5-pro22
qwen/qwen3-coder-plus22
anthropic/claude-sonnet-4.521
Qwen3-Coder-30B-A3B-Instruct20
Tesslate/Tessa-Rust-T1-7B19
google/gemini-2.5-flash7

BENCHMARKHold-Out Set

MODELSCORE, %
Strand-Rust-Coder-14B-v148
openai/gpt-5-codex47
anthropic/claude-sonnet-4.546
anthropic/claude-3.7-sonnet42
qwen/qwen3-max42
qwen/qwen3-coder-plus41
x-ai/grok-439
deepseek/deepseek-v3.1-terminus37
Qwen3-Coder-30B-A3B-Instruct36
openai/gpt-4o-latest34
deepseek/deepseek-chat34
google/gemini-2.5-flash33
Qwen2.5-Coder-14B-Instruct29
Qwen2.5-Coder-32B-Instruct29
google/gemini-2.5-pro28
qwen/qwen-2.5-72b28
Tesslate/Tessa-Rust-T1-7B23

Generation completed

progress bar
200,000 / 200,000
Q&A pairs created by the swarm
in 8 days and 23 hours
100%

The Evolution Process

Dataset Creation

The swarm creates
domain-specific Q&A pairs
and examples that serve as
training data.

Model Training

These datasets train small,
specialized models, open-
sourced for community.

Network Integration

New models join Fortytwo nodes, adding fresh expertise
to the swarm.

Self-Evolving swarm

With each cycle, the Swarm integrates new models
and grows more accurate
and capable.

Contributors Hall Of Fame

RANKNAME
1
223,336
2
109,564
3
96,436
4
92,109
5
89,446
6
89,035
7
86,703
8
81,832
9
81,469
10
79,914
11
79,269
12
78,767
13
77,319
14
76,344
15
74,044
16
73,872
17
72,625
18
69,721
19
68,836
20
67,333