Modelpublic

hfunknown/qwen3-8b-navigation-lora-stateless

sourceHugging Faceupdated 1mo agoView on Hugging Face

0likes52downloads

Model Card

qwen3-8b-navigation-lora-stateless

Anonymous supplementary release for a double-blind workshop submission. This is one of four LoRA adapters (rule_diagnosis / navigation task family x persistent/stateless training regime), fine-tuned on the navigation agentic task (graph exploration with a per-turn tool-call budget). It is the second-family generalization arm alongside the primary Opaque Knapsack result (see the sibling Qwen3-8B knapsack release).

—Base model: Qwen/Qwen3-8B
—Training regime: stateless (trained with a stateless Python interpreter runtime (interpreter state is reset every agent turn))
—Seed: 3407

Training configuration

Fine-tuned with Axolotl, LoRA adapter, 4-bit NF4 quantized base:

Hyperparameter	Value
lora_r	64
lora_alpha	128
lora_dropout	0.05
loratargetmodules	qproj, kproj, vproj, oproj, gateproj, upproj, down_proj
learning_rate	1e-4
lr_scheduler	cosine
optimizer	adamw_torch
epochs	3.0
microbatchsize	1
gradientaccumulationsteps	16
sequence_len	16384
sample_packing	false
seed	3407
training data	paired traces for the "stateless" regime on navigation, see paper Appendix for pairing/filtering procedure

Provenance

Released anonymously alongside a NeurIPS workshop submission for reproducibility review. Non-anonymous release (paper citation, full code, full training traces) will follow after the review process concludes.