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AdithyaSK
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Model Details
Model Provider
AdithyaSK
Model Tree
Qwen/Qwen3.5-2B
Input Modalities
Output Modalities
Supported Functionality
bash tool, answer submitted to /workdir/answer.txt.AdithyaSK/data_agent_rl_environment_train.Agentic pass@k on the held-out data_agent_rl_environment_eval suite (366 tasks, 4 samples/task, unbiased estimator):
| metric | base (Qwen3.5-2B) | this model | Δ |
|---|---|---|---|
| pass@1 | 0.098 | 0.408 | +0.310 |
| pass@2 | 0.168 | 0.514 | +0.346 |
| pass@3 | 0.229 | 0.567 | +0.338 |
| pass@4 | 0.284 | 0.603 | +0.319 |
python
from transformers import AutoModelForCausalLM, AutoTokenizerm = AutoModelForCausalLM.from_pretrained("AdithyaSK/data-agent-2b-normal-final", revision="v0", torch_dtype="bfloat16")tok = AutoTokenizer.from_pretrained("AdithyaSK/data-agent-2b-normal-final", revision="v0")
Part of the data-agent v0 release. Served non-thinking with a single bash tool (Qwen tool-calling).