Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning
360
8
license:apache-2.0
by
voidful
Image Model
OTHER
9B params
New
360 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
21GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
9GB+ RAM
Code Examples
Example config for RCCA-TR A+ (Reliability-Calibrated Conflict-Aware Trust-Region) fine-tuningyaml
# Example config for RCCA-TR A+ (Reliability-Calibrated Conflict-Aware Trust-Region) fine-tuning
# A+ variant: only 1 model in GPU memory (active model)
# Prior = offline cache, EMA = drift buffer
base_model: Qwen/Qwen3.5-9B
plugins:
- axolotl.integrations.rcca_tr.RCCATRPlugin
- axolotl.integrations.liger.LigerPlugin
liger_rms_norm: true
liger_glu_activation: true
# Enable RCCA-TR trainer
rcca_tr_trainer: true
# Conflict score hyperparameters
rcca_tr_conflict_lambda1: 1.0 # weight for surprisal in conflict score
rcca_tr_conflict_lambda2: 0.5 # weight for margin-based conflict
rcca_tr_conflict_tau: 1.0 # temperature for conflict sigmoid
# Reliability score hyperparameters
rcca_tr_reliability_beta: 0.5 # balance between stability and evidence
rcca_tr_reliability_tau: 1.0 # temperature for reliability sigmoid
# Trust-region hyperparameters
rcca_tr_epsilon_min: 0.01 # minimum trust-region radius
rcca_tr_epsilon_max: 1.0 # maximum trust-region radius
rcca_tr_kl_lambda: 1.0 # Lagrange multiplier for KL penalty
rcca_tr_use_smooth_objective: true # smooth g(r_t)*KL vs hinge
# Drift buffer (replaces EMA model)
rcca_tr_ema_decay: 0.999 # decay rate for drift buffer
rcca_tr_drift_gamma: 1.0 # drift → reliability scaling
# Prior cache (optional; omit to use fallback mode)
# rcca_tr_prior_cache_path: ./prior_cache/prior_cache.pt
# Dataset
datasets:
- path: voidful/gemini-3.1-opus-4.6-reasoning-merged
type: chat_template
split: train
dataset_prepared_path: ./prepared_data/rcca_tr
chat_template: qwen3_5
# Training settings
sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true
gradient_accumulation_steps: 4
micro_batch_size: 1
num_epochs: 3
optimizer: adamw_torch_fused
lr_scheduler: cosine
learning_rate: 2e-5
bf16: true
gradient_checkpointing: true
flash_attention: true
dataloader_num_workers: 0
deepspeed: deepspeed_configs/zero2.json
val_set_size: 0.05
save_strategy: epoch
output_dir: ./outputs/rcca-tr-fft
hub_model_id: voidful/Qwen3.5-9B-gemini-3.1-opus-4.6-reasoning
push_to_hub: true
hub_strategy: end
log_on_each_node: false
logging_steps: 1Deploy This Model
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