Fortytwo-Network/Strand-Rust-Coder-14B-v1
Fortytwo-Network/Strand-Rust-Coder-14B-v1 is a 14 billion parameter, Rust-specialized language model fine-tuned from Qwen2.5-Coder-14B. Developed by Fortytwo-Network using Swarm Inference, it excels at Rust-specific programming tasks, achieving 43-48% accuracy on Rust benchmarks, outperforming larger proprietary models. This model is optimized for Rust code generation, completion, and documentation, leveraging a 191K-example peer-validated synthetic dataset.
Hugging Face Popular Sampler Settings
Most commonly used values from Featherless users
temperature
This setting influences the sampling randomness. Lower values make the model more deterministic; higher values introduce randomness. Zero is greedy sampling.
–
top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
–
top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
–
frequency_penalty
This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.
–
presence_penalty
This setting penalizes new tokens based on their presence in the generated text so far. Values > 0 encourage new tokens; < 0 encourages repetition.
–
repetition_penalty
This setting penalizes new tokens based on their appearance in the prompt and generated text. Values > 1 encourage new tokens; < 1 encourages repetition.
–
min_p
This setting representing the minimum probability for a token to be considered relative to the most likely token. Must be in [0, 1]. Set to 0 to disable.
–