Text Generation
PEFT
Safetensors
English
qwen3_5
healthcare
medical
clinical-reasoning
chain-of-thought
grounded-generation
hallucination-mitigation
safety
adaptive-data
autoscientist
lora
qwen
fine-tuned
conversational
Instructions to use hetanshwaghela/autoscientist-healthcare-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hetanshwaghela/autoscientist-healthcare-reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "hetanshwaghela/autoscientist-healthcare-reasoning") - Notebooks
- Google Colab
- Kaggle
| { | |
| "alpha_pattern": {}, | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "Qwen/Qwen3.5-0.8B", | |
| "bias": "none", | |
| "corda_config": null, | |
| "eva_config": null, | |
| "exclude_modules": [ | |
| "model.visual.merger.act_fn", | |
| "model.visual.blocks.8.mlp", | |
| "model.visual.blocks.6.mlp.act_fn", | |
| "model.visual.blocks", | |
| "model.visual.blocks.10.attn.qkv", | |
| "model.visual.blocks.7.norm1", | |
| "model.visual.blocks.1", | |
| "model.visual.blocks.2.attn.qkv", | |
| "model.visual.blocks.6.mlp", | |
| "model.visual.blocks.3.norm1", | |
| "model.visual.blocks.1.mlp.linear_fc2", | |
| "model.visual.blocks.7.attn.qkv", | |
| "model.visual.blocks.4.attn", | |
| "model.visual", | |
| "model.visual.blocks.5.mlp", | |
| "model.visual.blocks.9.attn.proj", | |
| "model.visual.blocks.6", | |
| "model.visual.blocks.4.mlp", | |
| "model.visual.blocks.11.norm1", | |
| "model.visual.blocks.0", | |
| "model.visual.blocks.10.mlp.act_fn", | |
| "model.visual.blocks.8.attn.proj", | |
| "model.visual.blocks.1.norm1", | |
| "model.visual.blocks.9", | |
| "model.visual.blocks.0.attn", | |
| "model.visual.blocks.0.mlp.linear_fc2", | |
| "model.visual.blocks.11.mlp.act_fn", | |
| "model.visual.blocks.6.norm1", | |
| "model.visual.blocks.1.attn.qkv", | |
| "model.visual.blocks.4.attn.proj", | |
| "model.visual.blocks.3.attn", | |
| "model.visual.blocks.1.mlp", | |
| "model.visual.blocks.6.mlp.linear_fc1", | |
| "model.visual.blocks.6.attn.proj", | |
| "model.visual.blocks.0.mlp.linear_fc1", | |
| "model.visual.blocks.3.mlp.linear_fc1", | |
| "model.visual.blocks.11.attn.proj", | |
| "model.visual.blocks.11.mlp.linear_fc1", | |
| "model.visual.patch_embed", | |
| "model.visual.pos_embed", | |
| "model.visual.blocks.2.mlp.linear_fc2", | |
| "model.visual.blocks.2.norm1", | |
| "model.visual.blocks.3.norm2", | |
| "model.visual.blocks.8.norm2", | |
| "model.visual.blocks.3", | |
| "model.visual.blocks.11.mlp", | |
| "model.visual.blocks.3.mlp", | |
| "model.visual.blocks.6.attn.qkv", | |
| "model.visual.blocks.2.mlp", | |
| "model.visual.blocks.9.norm2", | |
| "model.visual.blocks.11.norm2", | |
| "model.visual.blocks.1.mlp.linear_fc1", | |
| "model.visual.blocks.10.norm1", | |
| "model.visual.blocks.8.mlp.act_fn", | |
| "model.visual.blocks.1.attn.proj", | |
| "model.visual.blocks.10", | |
| "model.visual.blocks.10.attn", | |
| "model.visual.blocks.8.mlp.linear_fc1", | |
| "model.visual.blocks.10.mlp.linear_fc1", | |
| "model.visual.blocks.0.norm2", | |
| "model.visual.blocks.2.attn", | |
| "model.visual.blocks.3.attn.proj", | |
| "model.visual.blocks.4.mlp.linear_fc1", | |
| "model.visual.blocks.11.attn.qkv", | |
| "model.visual.blocks.1.mlp.act_fn", | |
| "model.visual.blocks.8.attn", | |
| "model.visual.blocks.7.mlp", | |
| "model.visual.blocks.6.mlp.linear_fc2", | |
| "model.visual.blocks.8", | |
| "model.visual.blocks.10.mlp", | |
| "model.visual.blocks.7.mlp.linear_fc2", | |
| "model.visual.blocks.2", | |
| "model.visual.blocks.6.norm2", | |
| "model.visual.blocks.0.mlp.act_fn", | |
| "model.visual.blocks.0.mlp", | |
| "model.visual.blocks.4.norm1", | |
| "model.visual.blocks.9.mlp.linear_fc1", | |
| "model.visual.rotary_pos_emb", | |
| "model.visual.blocks.8.norm1", | |
| "model.visual.blocks.4.mlp.act_fn", | |
| "model.visual.blocks.9.attn.qkv", | |
| "model.visual.blocks.4.attn.qkv", | |
| "model.visual.blocks.11", | |
| "model.visual.blocks.9.mlp.linear_fc2", | |
| "model.visual.blocks.1.attn", | |
| "model.visual.blocks.4.mlp.linear_fc2", | |
| "model.visual.blocks.1.norm2", | |
| "model.visual.blocks.0.attn.qkv", | |
| "model.visual.merger.linear_fc2", | |
| "model.visual.blocks.9.mlp.act_fn", | |
| "model.visual.blocks.8.mlp.linear_fc2", | |
| "model.visual.merger.linear_fc1", | |
| "model.visual.blocks.7.attn", | |
| "model.visual.blocks.3.attn.qkv", | |
| "model.visual.blocks.5.attn.qkv", | |
| "model.visual.blocks.7.mlp.act_fn", | |
| "model.visual.blocks.5.norm1", | |
| "model.visual.merger.norm", | |
| "model.visual.blocks.10.mlp.linear_fc2", | |
| "model.visual.blocks.2.attn.proj", | |
| "model.visual.blocks.0.norm1", | |
| "model.visual.blocks.2.norm2", | |
| "model.visual.blocks.3.mlp.act_fn", | |
| "model.visual.blocks.10.norm2", | |
| "model.visual.blocks.11.attn", | |
| "model.visual.blocks.3.mlp.linear_fc2", | |
| "model.visual.blocks.4", | |
| "model.visual.blocks.4.norm2", | |
| "model.visual.blocks.10.attn.proj", | |
| "model.visual.blocks.2.mlp.linear_fc1", | |
| "model.visual.blocks.5.mlp.linear_fc1", | |
| "model.visual.blocks.2.mlp.act_fn", | |
| "model.visual.blocks.7.norm2", | |
| "model.visual.patch_embed.proj", | |
| "model.visual.blocks.5.attn", | |
| "model.visual.blocks.5.norm2", | |
| "model.visual.blocks.5.mlp.linear_fc2", | |
| "model.visual.blocks.7", | |
| "model.visual.blocks.0.attn.proj", | |
| "model.visual.merger", | |
| "model.visual.blocks.11.mlp.linear_fc2", | |
| "model.visual.blocks.8.attn.qkv", | |
| "model.visual.blocks.7.attn.proj", | |
| "model.visual.blocks.6.attn", | |
| "model.visual.blocks.9.mlp", | |
| "model.visual.blocks.7.mlp.linear_fc1", | |
| "model.visual.blocks.5.attn.proj", | |
| "model.visual.blocks.9.norm1", | |
| "model.visual.blocks.5.mlp.act_fn", | |
| "model.visual.blocks.5", | |
| "model.visual.blocks.9.attn" | |
| ], | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 128, | |
| "lora_bias": false, | |
| "lora_dropout": 0.05000000074505806, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 64, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": [ | |
| "q_proj", | |
| "v_proj", | |
| "k_proj", | |
| "o_proj" | |
| ], | |
| "task_type": "CAUSAL_LM", | |
| "trainable_token_indices": null, | |
| "use_dora": false, | |
| "use_rslora": false | |
| } |