Text Generation
Transformers
Safetensors
PEFT
English
Chinese
qwen3_5
image-text-to-text
veriloop
veriloop-coder
code
coding-agent
software-engineering
repository-understanding
tool-use
lora
harness-engineering
evidence-binding
rollback
uncertainty-calibration
long-context
open-weights
conversational
Instructions to use veriloop-lab/veriloop-coder-e1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use veriloop-lab/veriloop-coder-e1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="veriloop-lab/veriloop-coder-e1") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("veriloop-lab/veriloop-coder-e1") model = AutoModelForImageTextToText.from_pretrained("veriloop-lab/veriloop-coder-e1") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - PEFT
How to use veriloop-lab/veriloop-coder-e1 with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use veriloop-lab/veriloop-coder-e1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "veriloop-lab/veriloop-coder-e1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "veriloop-lab/veriloop-coder-e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/veriloop-lab/veriloop-coder-e1
- SGLang
How to use veriloop-lab/veriloop-coder-e1 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "veriloop-lab/veriloop-coder-e1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "veriloop-lab/veriloop-coder-e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "veriloop-lab/veriloop-coder-e1" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "veriloop-lab/veriloop-coder-e1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use veriloop-lab/veriloop-coder-e1 with Docker Model Runner:
docker model run hf.co/veriloop-lab/veriloop-coder-e1
Upload fine-tuned artifacts to repo root
Browse files- adapter/adapter_config.json +11 -2
- adapter/adapter_model.safetensors +2 -2
- best_checkpoint_manifest.json +21 -27
- epoch_history.json +108 -104
- host_manifest.json +114 -24
- tokenizer/tokenizer.json +1 -1
adapter/adapter_config.json
CHANGED
|
@@ -30,8 +30,17 @@
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
-
"surface_host.
|
| 34 |
-
"surface_host.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 35 |
],
|
| 36 |
"target_parameters": null,
|
| 37 |
"task_type": "FEATURE_EXTRACTION",
|
|
|
|
| 30 |
"rank_pattern": {},
|
| 31 |
"revision": null,
|
| 32 |
"target_modules": [
|
| 33 |
+
"surface_host.toolspec_bridge.adapter",
|
| 34 |
+
"surface_host.validator_feedback_bridge.adapter",
|
| 35 |
+
"surface_host.toolspec_head.receipt_formatter",
|
| 36 |
+
"surface_host.toolspec_head.precondition_adapter",
|
| 37 |
+
"surface_host.toolspec_head.validator_gate",
|
| 38 |
+
"surface_host.toolspec_head.postcondition_adapter",
|
| 39 |
+
"surface_host.tool_protocol_adapter.bridge",
|
| 40 |
+
"surface_host.runtime_harness_adapter.bridge",
|
| 41 |
+
"surface_host.toolspec_head.trigger_gate",
|
| 42 |
+
"surface_host.request_normalizer.adapter",
|
| 43 |
+
"surface_host.toolspec_head.param_schema_adapter"
|
| 44 |
],
|
| 45 |
"target_parameters": null,
|
| 46 |
"task_type": "FEATURE_EXTRACTION",
|
adapter/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e62775d0cd91a0604b237b7d50cdb1da249ec85e8f9a2c6ad4fd7ed8afc805a2
|
| 3 |
+
size 724048
|
best_checkpoint_manifest.json
CHANGED
|
@@ -1,33 +1,27 @@
|
|
| 1 |
{
|
| 2 |
-
"best_epoch":
|
| 3 |
-
"best_quality_score": 0.
|
| 4 |
"eval_metrics": {
|
| 5 |
-
"
|
| 6 |
-
"
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
"
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"
|
| 17 |
-
"
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
"u_risk": 0.20667441189289093,
|
| 22 |
-
"u_spec": 0.3369026482105255
|
| 23 |
-
},
|
| 24 |
-
"tight_accuracy": 0.4,
|
| 25 |
-
"weighted_mae": 0.18083095811830807,
|
| 26 |
-
"weighted_rmse": 0.24125460771003793
|
| 27 |
},
|
| 28 |
"train_metrics": {
|
| 29 |
-
"loss": 0.
|
| 30 |
-
"micro_batches":
|
| 31 |
-
"optimizer_steps":
|
| 32 |
}
|
| 33 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_epoch": 4,
|
| 3 |
+
"best_quality_score": 0.46349615617231893,
|
| 4 |
"eval_metrics": {
|
| 5 |
+
"avg_binary_accuracy": 0.81,
|
| 6 |
+
"confirmation_required_accuracy": 0.8,
|
| 7 |
+
"count": 25,
|
| 8 |
+
"eval_batches": 25,
|
| 9 |
+
"eval_loss": 6.897225952148437,
|
| 10 |
+
"mode_accuracy": 0.56,
|
| 11 |
+
"permission_bit_accuracy": 0.8545454545454545,
|
| 12 |
+
"precondition_ok_accuracy": 0.76,
|
| 13 |
+
"quality_score": 0.46349615617231893,
|
| 14 |
+
"rollback_supported_accuracy": 0.8,
|
| 15 |
+
"schema_ok_accuracy": 0.76,
|
| 16 |
+
"session_required_accuracy": 1.0,
|
| 17 |
+
"tool_accuracy": 0.44,
|
| 18 |
+
"trigger_accuracy": 0.76,
|
| 19 |
+
"validator_required_accuracy": 0.8,
|
| 20 |
+
"worktree_required_accuracy": 0.8
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
},
|
| 22 |
"train_metrics": {
|
| 23 |
+
"loss": 0.42175399448190415,
|
| 24 |
+
"micro_batches": 70,
|
| 25 |
+
"optimizer_steps": 5
|
| 26 |
}
|
| 27 |
}
|
epoch_history.json
CHANGED
|
@@ -3,137 +3,141 @@
|
|
| 3 |
{
|
| 4 |
"epoch": 1,
|
| 5 |
"eval_metrics": {
|
| 6 |
-
"
|
| 7 |
-
"
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
"
|
| 15 |
-
"
|
| 16 |
-
"
|
| 17 |
-
"
|
| 18 |
-
"
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
"u_risk": 0.22334341704845428,
|
| 23 |
-
"u_spec": 0.36644604802131653
|
| 24 |
-
},
|
| 25 |
-
"tight_accuracy": 0.36727272727272725,
|
| 26 |
-
"weighted_mae": 0.20175925098418107,
|
| 27 |
-
"weighted_rmse": 0.26307498343893954
|
| 28 |
},
|
| 29 |
"improved": true,
|
| 30 |
-
"quality_score": 0.
|
| 31 |
"train_metrics": {
|
| 32 |
-
"loss": 0.
|
| 33 |
-
"micro_batches":
|
| 34 |
-
"optimizer_steps":
|
| 35 |
}
|
| 36 |
},
|
| 37 |
{
|
| 38 |
"epoch": 2,
|
| 39 |
"eval_metrics": {
|
| 40 |
-
"
|
| 41 |
-
"
|
| 42 |
-
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
"
|
| 49 |
-
"
|
| 50 |
-
"
|
| 51 |
-
"
|
| 52 |
-
"
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
"u_risk": 0.20667441189289093,
|
| 57 |
-
"u_spec": 0.3369026482105255
|
| 58 |
-
},
|
| 59 |
-
"tight_accuracy": 0.4,
|
| 60 |
-
"weighted_mae": 0.18083095811830807,
|
| 61 |
-
"weighted_rmse": 0.24125460771003793
|
| 62 |
},
|
| 63 |
"improved": true,
|
| 64 |
-
"quality_score": 0.
|
| 65 |
"train_metrics": {
|
| 66 |
-
"loss": 0.
|
| 67 |
-
"micro_batches":
|
| 68 |
-
"optimizer_steps":
|
| 69 |
}
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 3,
|
| 73 |
"eval_metrics": {
|
| 74 |
-
"
|
| 75 |
-
"
|
| 76 |
-
|
| 77 |
-
|
| 78 |
-
|
| 79 |
-
|
| 80 |
-
|
| 81 |
-
|
| 82 |
-
"
|
| 83 |
-
"
|
| 84 |
-
"
|
| 85 |
-
"
|
| 86 |
-
"
|
| 87 |
-
|
| 88 |
-
|
| 89 |
-
|
| 90 |
-
"u_risk": 0.20870783925056458,
|
| 91 |
-
"u_spec": 0.3286373019218445
|
| 92 |
-
},
|
| 93 |
-
"tight_accuracy": 0.3927272727272727,
|
| 94 |
-
"weighted_mae": 0.1789679336398722,
|
| 95 |
-
"weighted_rmse": 0.23888496180570432
|
| 96 |
},
|
| 97 |
"improved": false,
|
| 98 |
-
"quality_score": 0.
|
| 99 |
"train_metrics": {
|
| 100 |
-
"loss": 0.
|
| 101 |
-
"micro_batches":
|
| 102 |
-
"optimizer_steps":
|
| 103 |
}
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"epoch": 4,
|
| 107 |
"eval_metrics": {
|
| 108 |
-
"
|
| 109 |
-
"
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
"
|
| 117 |
-
"
|
| 118 |
-
"
|
| 119 |
-
"
|
| 120 |
-
"
|
| 121 |
-
|
| 122 |
-
|
| 123 |
-
|
| 124 |
-
|
| 125 |
-
|
| 126 |
-
|
| 127 |
-
|
| 128 |
-
"
|
| 129 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 130 |
},
|
| 131 |
"improved": false,
|
| 132 |
-
"quality_score": 0.
|
| 133 |
"train_metrics": {
|
| 134 |
-
"loss": 0.
|
| 135 |
-
"micro_batches":
|
| 136 |
-
"optimizer_steps":
|
| 137 |
}
|
| 138 |
}
|
| 139 |
]
|
|
|
|
| 3 |
{
|
| 4 |
"epoch": 1,
|
| 5 |
"eval_metrics": {
|
| 6 |
+
"avg_binary_accuracy": 0.795,
|
| 7 |
+
"confirmation_required_accuracy": 0.8,
|
| 8 |
+
"count": 25,
|
| 9 |
+
"eval_batches": 25,
|
| 10 |
+
"eval_loss": 7.704372234344483,
|
| 11 |
+
"mode_accuracy": 0.44,
|
| 12 |
+
"permission_bit_accuracy": 0.850909090909091,
|
| 13 |
+
"precondition_ok_accuracy": 0.76,
|
| 14 |
+
"quality_score": 0.21877532557574186,
|
| 15 |
+
"rollback_supported_accuracy": 0.72,
|
| 16 |
+
"schema_ok_accuracy": 0.76,
|
| 17 |
+
"session_required_accuracy": 1.0,
|
| 18 |
+
"tool_accuracy": 0.24,
|
| 19 |
+
"trigger_accuracy": 0.76,
|
| 20 |
+
"validator_required_accuracy": 0.8,
|
| 21 |
+
"worktree_required_accuracy": 0.76
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
},
|
| 23 |
"improved": true,
|
| 24 |
+
"quality_score": 0.21877532557574186,
|
| 25 |
"train_metrics": {
|
| 26 |
+
"loss": 0.5388983534915107,
|
| 27 |
+
"micro_batches": 70,
|
| 28 |
+
"optimizer_steps": 5
|
| 29 |
}
|
| 30 |
},
|
| 31 |
{
|
| 32 |
"epoch": 2,
|
| 33 |
"eval_metrics": {
|
| 34 |
+
"avg_binary_accuracy": 0.81,
|
| 35 |
+
"confirmation_required_accuracy": 0.8,
|
| 36 |
+
"count": 25,
|
| 37 |
+
"eval_batches": 25,
|
| 38 |
+
"eval_loss": 7.129253711700439,
|
| 39 |
+
"mode_accuracy": 0.48,
|
| 40 |
+
"permission_bit_accuracy": 0.8545454545454545,
|
| 41 |
+
"precondition_ok_accuracy": 0.76,
|
| 42 |
+
"quality_score": 0.4400157397790389,
|
| 43 |
+
"rollback_supported_accuracy": 0.8,
|
| 44 |
+
"schema_ok_accuracy": 0.76,
|
| 45 |
+
"session_required_accuracy": 1.0,
|
| 46 |
+
"tool_accuracy": 0.44,
|
| 47 |
+
"trigger_accuracy": 0.76,
|
| 48 |
+
"validator_required_accuracy": 0.8,
|
| 49 |
+
"worktree_required_accuracy": 0.8
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 50 |
},
|
| 51 |
"improved": true,
|
| 52 |
+
"quality_score": 0.4400157397790389,
|
| 53 |
"train_metrics": {
|
| 54 |
+
"loss": 0.4655745736190251,
|
| 55 |
+
"micro_batches": 70,
|
| 56 |
+
"optimizer_steps": 5
|
| 57 |
}
|
| 58 |
},
|
| 59 |
{
|
| 60 |
"epoch": 3,
|
| 61 |
"eval_metrics": {
|
| 62 |
+
"avg_binary_accuracy": 0.81,
|
| 63 |
+
"confirmation_required_accuracy": 0.8,
|
| 64 |
+
"count": 25,
|
| 65 |
+
"eval_batches": 25,
|
| 66 |
+
"eval_loss": 6.935494079589843,
|
| 67 |
+
"mode_accuracy": 0.48,
|
| 68 |
+
"permission_bit_accuracy": 0.8545454545454545,
|
| 69 |
+
"precondition_ok_accuracy": 0.76,
|
| 70 |
+
"quality_score": 0.4229221342606978,
|
| 71 |
+
"rollback_supported_accuracy": 0.8,
|
| 72 |
+
"schema_ok_accuracy": 0.76,
|
| 73 |
+
"session_required_accuracy": 1.0,
|
| 74 |
+
"tool_accuracy": 0.4,
|
| 75 |
+
"trigger_accuracy": 0.76,
|
| 76 |
+
"validator_required_accuracy": 0.8,
|
| 77 |
+
"worktree_required_accuracy": 0.8
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 78 |
},
|
| 79 |
"improved": false,
|
| 80 |
+
"quality_score": 0.4229221342606978,
|
| 81 |
"train_metrics": {
|
| 82 |
+
"loss": 0.43205853487764084,
|
| 83 |
+
"micro_batches": 70,
|
| 84 |
+
"optimizer_steps": 5
|
| 85 |
}
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 4,
|
| 89 |
"eval_metrics": {
|
| 90 |
+
"avg_binary_accuracy": 0.81,
|
| 91 |
+
"confirmation_required_accuracy": 0.8,
|
| 92 |
+
"count": 25,
|
| 93 |
+
"eval_batches": 25,
|
| 94 |
+
"eval_loss": 6.897225952148437,
|
| 95 |
+
"mode_accuracy": 0.56,
|
| 96 |
+
"permission_bit_accuracy": 0.8545454545454545,
|
| 97 |
+
"precondition_ok_accuracy": 0.76,
|
| 98 |
+
"quality_score": 0.46349615617231893,
|
| 99 |
+
"rollback_supported_accuracy": 0.8,
|
| 100 |
+
"schema_ok_accuracy": 0.76,
|
| 101 |
+
"session_required_accuracy": 1.0,
|
| 102 |
+
"tool_accuracy": 0.44,
|
| 103 |
+
"trigger_accuracy": 0.76,
|
| 104 |
+
"validator_required_accuracy": 0.8,
|
| 105 |
+
"worktree_required_accuracy": 0.8
|
| 106 |
+
},
|
| 107 |
+
"improved": true,
|
| 108 |
+
"quality_score": 0.46349615617231893,
|
| 109 |
+
"train_metrics": {
|
| 110 |
+
"loss": 0.42175399448190415,
|
| 111 |
+
"micro_batches": 70,
|
| 112 |
+
"optimizer_steps": 5
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 5,
|
| 117 |
+
"eval_metrics": {
|
| 118 |
+
"avg_binary_accuracy": 0.81,
|
| 119 |
+
"confirmation_required_accuracy": 0.8,
|
| 120 |
+
"count": 25,
|
| 121 |
+
"eval_batches": 25,
|
| 122 |
+
"eval_loss": 6.89590030670166,
|
| 123 |
+
"mode_accuracy": 0.56,
|
| 124 |
+
"permission_bit_accuracy": 0.8545454545454545,
|
| 125 |
+
"precondition_ok_accuracy": 0.76,
|
| 126 |
+
"quality_score": 0.4635160408540206,
|
| 127 |
+
"rollback_supported_accuracy": 0.8,
|
| 128 |
+
"schema_ok_accuracy": 0.76,
|
| 129 |
+
"session_required_accuracy": 1.0,
|
| 130 |
+
"tool_accuracy": 0.44,
|
| 131 |
+
"trigger_accuracy": 0.76,
|
| 132 |
+
"validator_required_accuracy": 0.8,
|
| 133 |
+
"worktree_required_accuracy": 0.8
|
| 134 |
},
|
| 135 |
"improved": false,
|
| 136 |
+
"quality_score": 0.4635160408540206,
|
| 137 |
"train_metrics": {
|
| 138 |
+
"loss": 0.4198248211826597,
|
| 139 |
+
"micro_batches": 70,
|
| 140 |
+
"optimizer_steps": 5
|
| 141 |
}
|
| 142 |
}
|
| 143 |
]
|
host_manifest.json
CHANGED
|
@@ -68,6 +68,16 @@
|
|
| 68 |
"query_runtime_engine.adapter",
|
| 69 |
"request_normalizer",
|
| 70 |
"request_normalizer.adapter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 71 |
"rollback_adapter",
|
| 72 |
"rollback_adapter.head",
|
| 73 |
"rollback_engine",
|
|
@@ -76,6 +86,16 @@
|
|
| 76 |
"runtime_binding.adapter",
|
| 77 |
"runtime_harness_adapter",
|
| 78 |
"runtime_harness_adapter.bridge",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 79 |
"runtime_harness_uncertainty_bridge",
|
| 80 |
"runtime_harness_uncertainty_bridge.adapter",
|
| 81 |
"sandbox_rollback_bridge",
|
|
@@ -87,40 +107,110 @@
|
|
| 87 |
"session_state_manager.rollback_state",
|
| 88 |
"tool_protocol_adapter",
|
| 89 |
"tool_protocol_adapter.bridge",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 90 |
"toolspec_bridge",
|
| 91 |
"toolspec_bridge.adapter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 92 |
"toolspec_head",
|
| 93 |
"toolspec_head.param_schema_adapter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 94 |
"toolspec_head.postcondition_adapter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
"toolspec_head.precondition_adapter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 96 |
"toolspec_head.receipt_formatter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 97 |
"toolspec_head.trigger_gate",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 98 |
"toolspec_head.validator_gate",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 99 |
"uncertainty_head",
|
| 100 |
"uncertainty_head.calibration_mlp",
|
| 101 |
-
"uncertainty_head.calibration_mlp.base_layer",
|
| 102 |
-
"uncertainty_head.calibration_mlp.lora_A",
|
| 103 |
-
"uncertainty_head.calibration_mlp.lora_A.default",
|
| 104 |
-
"uncertainty_head.calibration_mlp.lora_B",
|
| 105 |
-
"uncertainty_head.calibration_mlp.lora_B.default",
|
| 106 |
-
"uncertainty_head.calibration_mlp.lora_dropout",
|
| 107 |
-
"uncertainty_head.calibration_mlp.lora_dropout.default",
|
| 108 |
-
"uncertainty_head.calibration_mlp.lora_embedding_A",
|
| 109 |
-
"uncertainty_head.calibration_mlp.lora_embedding_B",
|
| 110 |
-
"uncertainty_head.calibration_mlp.lora_magnitude_vector",
|
| 111 |
"uncertainty_head.proj",
|
| 112 |
-
"uncertainty_head.proj.base_layer",
|
| 113 |
-
"uncertainty_head.proj.lora_A",
|
| 114 |
-
"uncertainty_head.proj.lora_A.default",
|
| 115 |
-
"uncertainty_head.proj.lora_B",
|
| 116 |
-
"uncertainty_head.proj.lora_B.default",
|
| 117 |
-
"uncertainty_head.proj.lora_dropout",
|
| 118 |
-
"uncertainty_head.proj.lora_dropout.default",
|
| 119 |
-
"uncertainty_head.proj.lora_embedding_A",
|
| 120 |
-
"uncertainty_head.proj.lora_embedding_B",
|
| 121 |
-
"uncertainty_head.proj.lora_magnitude_vector",
|
| 122 |
"validator_feedback_bridge",
|
| 123 |
"validator_feedback_bridge.adapter",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 124 |
"validator_feedback_loop",
|
| 125 |
"validator_feedback_loop.rollback_adapter",
|
| 126 |
"validator_receipt_bridge",
|
|
@@ -138,10 +228,10 @@
|
|
| 138 |
"backbone_frozen": true,
|
| 139 |
"backbone_present": true,
|
| 140 |
"hidden_size": 2048,
|
| 141 |
-
"host_parameters":
|
| 142 |
-
"host_trainable_parameters":
|
| 143 |
-
"total_parameters":
|
| 144 |
-
"trainable_parameters":
|
| 145 |
"version": "veriloop.coder_peft_host.v1"
|
| 146 |
},
|
| 147 |
"version": "veriloop.coder_peft_host.v1"
|
|
|
|
| 68 |
"query_runtime_engine.adapter",
|
| 69 |
"request_normalizer",
|
| 70 |
"request_normalizer.adapter",
|
| 71 |
+
"request_normalizer.adapter.base_layer",
|
| 72 |
+
"request_normalizer.adapter.lora_A",
|
| 73 |
+
"request_normalizer.adapter.lora_A.default",
|
| 74 |
+
"request_normalizer.adapter.lora_B",
|
| 75 |
+
"request_normalizer.adapter.lora_B.default",
|
| 76 |
+
"request_normalizer.adapter.lora_dropout",
|
| 77 |
+
"request_normalizer.adapter.lora_dropout.default",
|
| 78 |
+
"request_normalizer.adapter.lora_embedding_A",
|
| 79 |
+
"request_normalizer.adapter.lora_embedding_B",
|
| 80 |
+
"request_normalizer.adapter.lora_magnitude_vector",
|
| 81 |
"rollback_adapter",
|
| 82 |
"rollback_adapter.head",
|
| 83 |
"rollback_engine",
|
|
|
|
| 86 |
"runtime_binding.adapter",
|
| 87 |
"runtime_harness_adapter",
|
| 88 |
"runtime_harness_adapter.bridge",
|
| 89 |
+
"runtime_harness_adapter.bridge.base_layer",
|
| 90 |
+
"runtime_harness_adapter.bridge.lora_A",
|
| 91 |
+
"runtime_harness_adapter.bridge.lora_A.default",
|
| 92 |
+
"runtime_harness_adapter.bridge.lora_B",
|
| 93 |
+
"runtime_harness_adapter.bridge.lora_B.default",
|
| 94 |
+
"runtime_harness_adapter.bridge.lora_dropout",
|
| 95 |
+
"runtime_harness_adapter.bridge.lora_dropout.default",
|
| 96 |
+
"runtime_harness_adapter.bridge.lora_embedding_A",
|
| 97 |
+
"runtime_harness_adapter.bridge.lora_embedding_B",
|
| 98 |
+
"runtime_harness_adapter.bridge.lora_magnitude_vector",
|
| 99 |
"runtime_harness_uncertainty_bridge",
|
| 100 |
"runtime_harness_uncertainty_bridge.adapter",
|
| 101 |
"sandbox_rollback_bridge",
|
|
|
|
| 107 |
"session_state_manager.rollback_state",
|
| 108 |
"tool_protocol_adapter",
|
| 109 |
"tool_protocol_adapter.bridge",
|
| 110 |
+
"tool_protocol_adapter.bridge.base_layer",
|
| 111 |
+
"tool_protocol_adapter.bridge.lora_A",
|
| 112 |
+
"tool_protocol_adapter.bridge.lora_A.default",
|
| 113 |
+
"tool_protocol_adapter.bridge.lora_B",
|
| 114 |
+
"tool_protocol_adapter.bridge.lora_B.default",
|
| 115 |
+
"tool_protocol_adapter.bridge.lora_dropout",
|
| 116 |
+
"tool_protocol_adapter.bridge.lora_dropout.default",
|
| 117 |
+
"tool_protocol_adapter.bridge.lora_embedding_A",
|
| 118 |
+
"tool_protocol_adapter.bridge.lora_embedding_B",
|
| 119 |
+
"tool_protocol_adapter.bridge.lora_magnitude_vector",
|
| 120 |
"toolspec_bridge",
|
| 121 |
"toolspec_bridge.adapter",
|
| 122 |
+
"toolspec_bridge.adapter.base_layer",
|
| 123 |
+
"toolspec_bridge.adapter.lora_A",
|
| 124 |
+
"toolspec_bridge.adapter.lora_A.default",
|
| 125 |
+
"toolspec_bridge.adapter.lora_B",
|
| 126 |
+
"toolspec_bridge.adapter.lora_B.default",
|
| 127 |
+
"toolspec_bridge.adapter.lora_dropout",
|
| 128 |
+
"toolspec_bridge.adapter.lora_dropout.default",
|
| 129 |
+
"toolspec_bridge.adapter.lora_embedding_A",
|
| 130 |
+
"toolspec_bridge.adapter.lora_embedding_B",
|
| 131 |
+
"toolspec_bridge.adapter.lora_magnitude_vector",
|
| 132 |
"toolspec_head",
|
| 133 |
"toolspec_head.param_schema_adapter",
|
| 134 |
+
"toolspec_head.param_schema_adapter.base_layer",
|
| 135 |
+
"toolspec_head.param_schema_adapter.lora_A",
|
| 136 |
+
"toolspec_head.param_schema_adapter.lora_A.default",
|
| 137 |
+
"toolspec_head.param_schema_adapter.lora_B",
|
| 138 |
+
"toolspec_head.param_schema_adapter.lora_B.default",
|
| 139 |
+
"toolspec_head.param_schema_adapter.lora_dropout",
|
| 140 |
+
"toolspec_head.param_schema_adapter.lora_dropout.default",
|
| 141 |
+
"toolspec_head.param_schema_adapter.lora_embedding_A",
|
| 142 |
+
"toolspec_head.param_schema_adapter.lora_embedding_B",
|
| 143 |
+
"toolspec_head.param_schema_adapter.lora_magnitude_vector",
|
| 144 |
"toolspec_head.postcondition_adapter",
|
| 145 |
+
"toolspec_head.postcondition_adapter.base_layer",
|
| 146 |
+
"toolspec_head.postcondition_adapter.lora_A",
|
| 147 |
+
"toolspec_head.postcondition_adapter.lora_A.default",
|
| 148 |
+
"toolspec_head.postcondition_adapter.lora_B",
|
| 149 |
+
"toolspec_head.postcondition_adapter.lora_B.default",
|
| 150 |
+
"toolspec_head.postcondition_adapter.lora_dropout",
|
| 151 |
+
"toolspec_head.postcondition_adapter.lora_dropout.default",
|
| 152 |
+
"toolspec_head.postcondition_adapter.lora_embedding_A",
|
| 153 |
+
"toolspec_head.postcondition_adapter.lora_embedding_B",
|
| 154 |
+
"toolspec_head.postcondition_adapter.lora_magnitude_vector",
|
| 155 |
"toolspec_head.precondition_adapter",
|
| 156 |
+
"toolspec_head.precondition_adapter.base_layer",
|
| 157 |
+
"toolspec_head.precondition_adapter.lora_A",
|
| 158 |
+
"toolspec_head.precondition_adapter.lora_A.default",
|
| 159 |
+
"toolspec_head.precondition_adapter.lora_B",
|
| 160 |
+
"toolspec_head.precondition_adapter.lora_B.default",
|
| 161 |
+
"toolspec_head.precondition_adapter.lora_dropout",
|
| 162 |
+
"toolspec_head.precondition_adapter.lora_dropout.default",
|
| 163 |
+
"toolspec_head.precondition_adapter.lora_embedding_A",
|
| 164 |
+
"toolspec_head.precondition_adapter.lora_embedding_B",
|
| 165 |
+
"toolspec_head.precondition_adapter.lora_magnitude_vector",
|
| 166 |
"toolspec_head.receipt_formatter",
|
| 167 |
+
"toolspec_head.receipt_formatter.base_layer",
|
| 168 |
+
"toolspec_head.receipt_formatter.lora_A",
|
| 169 |
+
"toolspec_head.receipt_formatter.lora_A.default",
|
| 170 |
+
"toolspec_head.receipt_formatter.lora_B",
|
| 171 |
+
"toolspec_head.receipt_formatter.lora_B.default",
|
| 172 |
+
"toolspec_head.receipt_formatter.lora_dropout",
|
| 173 |
+
"toolspec_head.receipt_formatter.lora_dropout.default",
|
| 174 |
+
"toolspec_head.receipt_formatter.lora_embedding_A",
|
| 175 |
+
"toolspec_head.receipt_formatter.lora_embedding_B",
|
| 176 |
+
"toolspec_head.receipt_formatter.lora_magnitude_vector",
|
| 177 |
"toolspec_head.trigger_gate",
|
| 178 |
+
"toolspec_head.trigger_gate.base_layer",
|
| 179 |
+
"toolspec_head.trigger_gate.lora_A",
|
| 180 |
+
"toolspec_head.trigger_gate.lora_A.default",
|
| 181 |
+
"toolspec_head.trigger_gate.lora_B",
|
| 182 |
+
"toolspec_head.trigger_gate.lora_B.default",
|
| 183 |
+
"toolspec_head.trigger_gate.lora_dropout",
|
| 184 |
+
"toolspec_head.trigger_gate.lora_dropout.default",
|
| 185 |
+
"toolspec_head.trigger_gate.lora_embedding_A",
|
| 186 |
+
"toolspec_head.trigger_gate.lora_embedding_B",
|
| 187 |
+
"toolspec_head.trigger_gate.lora_magnitude_vector",
|
| 188 |
"toolspec_head.validator_gate",
|
| 189 |
+
"toolspec_head.validator_gate.base_layer",
|
| 190 |
+
"toolspec_head.validator_gate.lora_A",
|
| 191 |
+
"toolspec_head.validator_gate.lora_A.default",
|
| 192 |
+
"toolspec_head.validator_gate.lora_B",
|
| 193 |
+
"toolspec_head.validator_gate.lora_B.default",
|
| 194 |
+
"toolspec_head.validator_gate.lora_dropout",
|
| 195 |
+
"toolspec_head.validator_gate.lora_dropout.default",
|
| 196 |
+
"toolspec_head.validator_gate.lora_embedding_A",
|
| 197 |
+
"toolspec_head.validator_gate.lora_embedding_B",
|
| 198 |
+
"toolspec_head.validator_gate.lora_magnitude_vector",
|
| 199 |
"uncertainty_head",
|
| 200 |
"uncertainty_head.calibration_mlp",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 201 |
"uncertainty_head.proj",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 202 |
"validator_feedback_bridge",
|
| 203 |
"validator_feedback_bridge.adapter",
|
| 204 |
+
"validator_feedback_bridge.adapter.base_layer",
|
| 205 |
+
"validator_feedback_bridge.adapter.lora_A",
|
| 206 |
+
"validator_feedback_bridge.adapter.lora_A.default",
|
| 207 |
+
"validator_feedback_bridge.adapter.lora_B",
|
| 208 |
+
"validator_feedback_bridge.adapter.lora_B.default",
|
| 209 |
+
"validator_feedback_bridge.adapter.lora_dropout",
|
| 210 |
+
"validator_feedback_bridge.adapter.lora_dropout.default",
|
| 211 |
+
"validator_feedback_bridge.adapter.lora_embedding_A",
|
| 212 |
+
"validator_feedback_bridge.adapter.lora_embedding_B",
|
| 213 |
+
"validator_feedback_bridge.adapter.lora_magnitude_vector",
|
| 214 |
"validator_feedback_loop",
|
| 215 |
"validator_feedback_loop.rollback_adapter",
|
| 216 |
"validator_receipt_bridge",
|
|
|
|
| 228 |
"backbone_frozen": true,
|
| 229 |
"backbone_present": true,
|
| 230 |
"hidden_size": 2048,
|
| 231 |
+
"host_parameters": 176621573,
|
| 232 |
+
"host_trainable_parameters": 360448,
|
| 233 |
+
"total_parameters": 34132679301,
|
| 234 |
+
"trainable_parameters": 360448,
|
| 235 |
"version": "veriloop.coder_peft_host.v1"
|
| 236 |
},
|
| 237 |
"version": "veriloop.coder_peft_host.v1"
|
tokenizer/tokenizer.json
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 19989442
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a0316e38d81a31965b770393461dcc03612ac06e2733f8e1cc440d36a2ef189
|
| 3 |
size 19989442
|