NoesisLab-Kai-0.35B-Instruct-GGUF

GGUF Files for Kai-0.35B-Instruct

These are the GGUF files for NoesisLab/Kai-0.35B-Instruct.

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Kai-0.35B-Instruct

A compact 0.35B-parameter instruction-tuned language model optimized for reasoning, math, and code generation tasks.

Model Details

Benchmark Results (5-shot, log-likelihood)

Code Generation — MBPP (3-shot, pass@1)

Key Observations

1. ARC-Challenge: Kai-0.35B scores 37.80% (5-shot), significantly outperforming both Mamba-370M (+8.7pp) and TinyLlama-1.1B (+7.7pp) — a model 3x its size.

2. PIQA: At 71.82%, Kai-0.35B nearly matches TinyLlama-1.1B (73.0%) with only 1/3 the parameters, and trails the 1B-class Llama-3.2 by less than 3pp.

3. MBPP: At 22.20% pass@1, Kai-0.35B surpasses TinyLlama-1.1B (~19.91%) in code generation despite being 3x smaller.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained(
    "NoesisLab/Kai-0.35B-Instruct",
    torch_dtype=torch.bfloat16,
)
tokenizer = AutoTokenizer.from_pretrained("NoesisLab/Kai-0.35B-Instruct")
messages = [{"role": "user", "content": "What is 25 * 4?"}]
input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt")
output = model.generate(input_ids, max_new_tokens=256)
print(tokenizer.decode(output[0], skip_special_tokens=True))

Citation

@misc{noesislab2026nkai,
  title={Kai-0.35B-Instruct},
  author={NoesisLab},
  year={2026},
  url={https://huggingface.co/NoesisLab/Kai-0.35B-Instruct}
}

License

Apache 2.0