Upload BuildwellAI Qwen3-14B project

.gitattributes

@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+datasets/combined.jsonl filter=lfs diff=lfs merge=lfs -text
+datasets/train.jsonl filter=lfs diff=lfs merge=lfs -text
+output/buildwellai-qwen3-14b-v2/adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+output/buildwellai-qwen3-14b-v2/checkpoint-1400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+output/buildwellai-qwen3-14b-v2/checkpoint-1600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+output/buildwellai-qwen3-14b-v2/checkpoint-1800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+output/buildwellai-qwen3-14b-v2/merged/tokenizer.json filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,148 @@
+# BuildwellAI Model V2
+
+Fine-tuned Qwen3-14B for UK construction industry applications.
+
+## Features
+
+- **42 MCP Server Integration**: Tool calling for all BuildwellAI calculation servers
+- **Multi-Mode Responses**: Direct answers, thinking mode, and tool calling
+- **Anti-Overfitting**: Early stopping, dropout, weight decay, validation monitoring
+- **Streaming API**: OpenAI-compatible streaming inference server
+
+## Quick Start
+
+### 1. Prepare Dataset
+
+```bash
+cd /opt/buildwellai/buildwellai-llm-models/buildwellai-model-v2/scripts
+python3 prepare_dataset.py
+```
+
+This will:
+- Convert CSV files (BSI, UK Benchmark, Q&A pairs)
+- Load existing JSONL datasets (thinking_mode, tool_calling)
+- Generate MCP training data for all 42 servers
+- Validate and deduplicate
+- Split into train/validation sets
+
+### 2. Fine-Tune
+
+```bash
+python3 finetune.py
+```
+
+Or with custom config:
+```bash
+python3 finetune.py --config ../configs/training_config.json
+```
+
+### 3. Run Streaming API
+
+```bash
+python3 streaming_api.py --model ../output/buildwellai-qwen3-14b-v2/merged --port 8080
+```
+
+Or interactive CLI:
+```bash
+python3 streaming_api.py --model ../output/buildwellai-qwen3-14b-v2/merged --cli
+```
+
+## Dataset Sources
+
+| Source | Description | Count |
+|--------|-------------|-------|
+| qa-buildwell-ai.csv | Q&A pairs | ~39K |
+| UK Building Control Benchmark | Building control questions | ~160 |
+| BSI Flex 8670 | Building safety competence | ~47 |
+| dataset_thinking_mode.jsonl | Reasoning examples | 10K |
+| dataset_tool_calling.jsonl | Tool call examples | 8K |
+| MCP Generated | All 42 MCP servers | ~250 |
+
+## Anti-Overfitting Measures
+
+1. **Lower Learning Rate**: 1e-5 (vs typical 2e-4)
+2. **Weight Decay**: 0.05 L2 regularization
+3. **LoRA Dropout**: 0.1 in adapter layers
+4. **Early Stopping**: Patience of 3, monitors val_loss
+5. **Validation Split**: 5% held out for monitoring
+6. **Lower LoRA Rank**: r=16 reduces capacity
+7. **Fewer Epochs**: 2 epochs max
+8. **Gradient Clipping**: max_grad_norm=0.5
+
+## Estimated Training Time
+
+On 2x RTX A5000 (RunPod):
+
+| Dataset Size | Method | Time | Cost |
+|--------------|--------|------|------|
+| ~60K samples | Unsloth QLoRA | ~12-15 hours | ~$13-16 |
+| ~60K samples | HF Standard | ~25-30 hours | ~$25-30 |
+
+## API Usage
+
+### OpenAI-Compatible Endpoint
+
+```python
+import openai
+
+client = openai.OpenAI(
+    base_url="http://localhost:8080/v1",
+    api_key="not-needed"
+)
+
+response = client.chat.completions.create(
+    model="buildwellai-qwen3-14b-v2",
+    messages=[
+        {"role": "user", "content": "What are the PSI values for junction E5?"}
+    ],
+    stream=True
+)
+
+for chunk in response:
+    print(chunk.choices[0].delta.content, end="")
+```
+
+### Direct Endpoint
+
+```bash
+curl -X POST http://localhost:8080/chat \
+  -H "Content-Type: application/json" \
+  -d '{
+    "messages": [{"role": "user", "content": "Calculate U-value for cavity wall"}],
+    "stream": false
+  }'
+```
+
+## File Structure
+
+```
+buildwellai-model-v2/
+├── configs/
+│   └── training_config.json
+├── datasets/
+│   ├── train.jsonl
+│   ├── validation.jsonl
+│   └── dataset_stats.json
+├── scripts/
+│   ├── prepare_dataset.py
+│   ├── finetune.py
+│   └── streaming_api.py
+├── output/
+│   └── buildwellai-qwen3-14b-v2/
+│       ├── adapter/
+│       └── merged/
+└── logs/
+```
+
+## MCP Servers Covered
+
+All 42 BuildwellAI MCP calculation servers:
+
+- Structural: Part A, disproportionate collapse
+- Thermal: U-value, PSI, condensation, thermal break
+- Energy: SAP10, SBEM, Part L, Passivhaus
+- Fire: Safety, smoke ventilation, evacuation
+- Sustainability: BREEAM, WELL, LCA, embodied carbon
+- Water: Part G, drainage, SuDS, flood risk
+- Comfort: Daylight, overheating, acoustics, ventilation
+- And more...

README.md

@@ -0,0 +1,148 @@
+# BuildwellAI Model V2
+
+Fine-tuned Qwen3-14B for UK construction industry applications.
+
+## Features
+
+- **42 MCP Server Integration**: Tool calling for all BuildwellAI calculation servers
+- **Multi-Mode Responses**: Direct answers, thinking mode, and tool calling
+- **Anti-Overfitting**: Early stopping, dropout, weight decay, validation monitoring
+- **Streaming API**: OpenAI-compatible streaming inference server
+
+## Quick Start
+
+### 1. Prepare Dataset
+
+```bash
+cd /opt/buildwellai/buildwellai-llm-models/buildwellai-model-v2/scripts
+python3 prepare_dataset.py
+```
+
+This will:
+- Convert CSV files (BSI, UK Benchmark, Q&A pairs)
+- Load existing JSONL datasets (thinking_mode, tool_calling)
+- Generate MCP training data for all 42 servers
+- Validate and deduplicate
+- Split into train/validation sets
+
+### 2. Fine-Tune
+
+```bash
+python3 finetune.py
+```
+
+Or with custom config:
+```bash
+python3 finetune.py --config ../configs/training_config.json
+```
+
+### 3. Run Streaming API
+
+```bash
+python3 streaming_api.py --model ../output/buildwellai-qwen3-14b-v2/merged --port 8080
+```
+
+Or interactive CLI:
+```bash
+python3 streaming_api.py --model ../output/buildwellai-qwen3-14b-v2/merged --cli
+```
+
+## Dataset Sources
+
+| Source | Description | Count |
+|--------|-------------|-------|
+| qa-buildwell-ai.csv | Q&A pairs | ~39K |
+| UK Building Control Benchmark | Building control questions | ~160 |
+| BSI Flex 8670 | Building safety competence | ~47 |
+| dataset_thinking_mode.jsonl | Reasoning examples | 10K |
+| dataset_tool_calling.jsonl | Tool call examples | 8K |
+| MCP Generated | All 42 MCP servers | ~250 |
+
+## Anti-Overfitting Measures
+
+1. **Lower Learning Rate**: 1e-5 (vs typical 2e-4)
+2. **Weight Decay**: 0.05 L2 regularization
+3. **LoRA Dropout**: 0.1 in adapter layers
+4. **Early Stopping**: Patience of 3, monitors val_loss
+5. **Validation Split**: 5% held out for monitoring
+6. **Lower LoRA Rank**: r=16 reduces capacity
+7. **Fewer Epochs**: 2 epochs max
+8. **Gradient Clipping**: max_grad_norm=0.5
+
+## Estimated Training Time
+
+On 2x RTX A5000 (RunPod):
+
+| Dataset Size | Method | Time | Cost |
+|--------------|--------|------|------|
+| ~60K samples | Unsloth QLoRA | ~12-15 hours | ~$13-16 |
+| ~60K samples | HF Standard | ~25-30 hours | ~$25-30 |
+
+## API Usage
+
+### OpenAI-Compatible Endpoint
+
+```python
+import openai
+
+client = openai.OpenAI(
+    base_url="http://localhost:8080/v1",
+    api_key="not-needed"
+)
+
+response = client.chat.completions.create(
+    model="buildwellai-qwen3-14b-v2",
+    messages=[
+        {"role": "user", "content": "What are the PSI values for junction E5?"}
+    ],
+    stream=True
+)
+
+for chunk in response:
+    print(chunk.choices[0].delta.content, end="")
+```
+
+### Direct Endpoint
+
+```bash
+curl -X POST http://localhost:8080/chat \
+  -H "Content-Type: application/json" \
+  -d '{
+    "messages": [{"role": "user", "content": "Calculate U-value for cavity wall"}],
+    "stream": false
+  }'
+```
+
+## File Structure
+
+```
+buildwellai-model-v2/
+├── configs/
+│   └── training_config.json
+├── datasets/
+│   ├── train.jsonl
+│   ├── validation.jsonl
+│   └── dataset_stats.json
+├── scripts/
+│   ├── prepare_dataset.py
+│   ├── finetune.py
+│   └── streaming_api.py
+├── output/
+│   └── buildwellai-qwen3-14b-v2/
+│       ├── adapter/
+│       └── merged/
+└── logs/
+```
+
+## MCP Servers Covered
+
+All 42 BuildwellAI MCP calculation servers:
+
+- Structural: Part A, disproportionate collapse
+- Thermal: U-value, PSI, condensation, thermal break
+- Energy: SAP10, SBEM, Part L, Passivhaus
+- Fire: Safety, smoke ventilation, evacuation
+- Sustainability: BREEAM, WELL, LCA, embodied carbon
+- Water: Part G, drainage, SuDS, flood risk
+- Comfort: Daylight, overheating, acoustics, ventilation
+- And more...

configs/.ipynb_checkpoints/training_config-checkpoint.json

@@ -0,0 +1,46 @@
+{
+  "model": {
+    "base_model": "Qwen/Qwen3-14B",
+    "max_seq_length": 2048
+  },
+  "lora": {
+    "lora_r": 16,
+    "lora_alpha": 32,
+    "lora_dropout": 0.1,
+    "lora_target_modules": [
+      "q_proj", "k_proj", "v_proj", "o_proj",
+      "gate_proj", "up_proj", "down_proj"
+    ]
+  },
+  "training": {
+    "batch_size": 4,
+    "gradient_accumulation_steps": 4,
+    "learning_rate": 1e-5,
+    "num_epochs": 2,
+    "warmup_ratio": 0.1,
+    "weight_decay": 0.05,
+    "max_grad_norm": 0.5
+  },
+  "anti_overfitting": {
+    "early_stopping_patience": 3,
+    "early_stopping_threshold": 0.01,
+    "eval_steps": 200,
+    "validation_split": 0.05,
+    "notes": [
+      "Lower learning rate (1e-5) prevents aggressive updates",
+      "Weight decay (0.05) provides L2 regularization",
+      "LoRA dropout (0.1) prevents co-adaptation",
+      "Early stopping monitors validation loss",
+      "Lower LoRA rank (16) reduces model capacity"
+    ]
+  },
+  "paths": {
+    "train_data": "../datasets/train.jsonl",
+    "val_data": "../datasets/validation.jsonl",
+    "output_dir": "../output/buildwellai-qwen3-14b-v2"
+  },
+  "hub": {
+    "push_to_hub": false,
+    "hub_model_id": "buildwellai/qwen3-14b-v2"
+  }
+}

configs/training_config.json

@@ -0,0 +1,46 @@
+{
+  "model": {
+    "base_model": "Qwen/Qwen3-14B",
+    "max_seq_length": 2048
+  },
+  "lora": {
+    "lora_r": 16,
+    "lora_alpha": 32,
+    "lora_dropout": 0.1,
+    "lora_target_modules": [
+      "q_proj", "k_proj", "v_proj", "o_proj",
+      "gate_proj", "up_proj", "down_proj"
+    ]
+  },
+  "training": {
+    "batch_size": 4,
+    "gradient_accumulation_steps": 4,
+    "learning_rate": 1e-5,
+    "num_epochs": 2,
+    "warmup_ratio": 0.1,
+    "weight_decay": 0.05,
+    "max_grad_norm": 0.5
+  },
+  "anti_overfitting": {
+    "early_stopping_patience": 3,
+    "early_stopping_threshold": 0.01,
+    "eval_steps": 200,
+    "validation_split": 0.05,
+    "notes": [
+      "Lower learning rate (1e-5) prevents aggressive updates",
+      "Weight decay (0.05) provides L2 regularization",
+      "LoRA dropout (0.1) prevents co-adaptation",
+      "Early stopping monitors validation loss",
+      "Lower LoRA rank (16) reduces model capacity"
+    ]
+  },
+  "paths": {
+    "train_data": "../datasets/train.jsonl",
+    "val_data": "../datasets/validation.jsonl",
+    "output_dir": "../output/buildwellai-qwen3-14b-v2"
+  },
+  "hub": {
+    "push_to_hub": false,
+    "hub_model_id": "buildwellai/qwen3-14b-v2"
+  }
+}

datasets/combined.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:652d9bafd0c2a8b411a98a3ff4331f4ae65a3dce2844c78a053fd7f8fc9a3037
+size 27673173

datasets/dataset_stats.json

@@ -0,0 +1,18 @@
+{
+  "generated_at": "2026-01-04T01:00:39.599818",
+  "source_counts": {
+    "thinking_mode": 10000,
+    "tool_calling": 8000,
+    "qa_pairs": 34446,
+    "uk_benchmark": 63,
+    "bsi_benchmark": 40,
+    "mcp_generated": 3690
+  },
+  "total_before_processing": 56239,
+  "valid_examples": 56239,
+  "unique_examples": 44022,
+  "balanced_examples": 28824,
+  "train_examples": 27383,
+  "val_examples": 1441,
+  "mcp_servers_covered": 42
+}

datasets/train.jsonl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e6a6805a37ddea3b810f9fa385cdaac69e838f1a7ed10dd0d6e067b0e1bf1e1b
+size 26287919

output/buildwellai-qwen3-14b-v2/README.md

@@ -0,0 +1,59 @@
+---
+base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
+library_name: transformers
+model_name: buildwellai-qwen3-14b-v2
+tags:
+- generated_from_trainer
+- trl
+- sft
+- unsloth
+licence: license
+---
+
+# Model Card for buildwellai-qwen3-14b-v2
+
+This model is a fine-tuned version of [unsloth/qwen3-14b-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen3-14b-unsloth-bnb-4bit).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.24.0
+- Transformers: 4.57.3
+- Pytorch: 2.9.1
+- Datasets: 4.3.0
+- Tokenizers: 0.22.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

output/buildwellai-qwen3-14b-v2/adapter/README.md

@@ -0,0 +1,210 @@
+---
+base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/qwen3-14b-unsloth-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

output/buildwellai-qwen3-14b-v2/adapter/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3ForCausalLM",
+    "parent_library": "transformers.models.qwen3.modeling_qwen3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/qwen3-14b-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "down_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

output/buildwellai-qwen3-14b-v2/adapter/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d909458181e3fc199392ce9e2dda0f94f1b1e9b872aeb4a7707001aaf7dc65fd
+size 256976504

output/buildwellai-qwen3-14b-v2/adapter/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

output/buildwellai-qwen3-14b-v2/adapter/chat_template.jinja

@@ -0,0 +1,97 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = message.content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (message.content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = message.content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

output/buildwellai-qwen3-14b-v2/adapter/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

output/buildwellai-qwen3-14b-v2/adapter/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

output/buildwellai-qwen3-14b-v2/adapter/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 40960,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/README.md

@@ -0,0 +1,210 @@
+---
+base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/qwen3-14b-unsloth-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

output/buildwellai-qwen3-14b-v2/checkpoint-1400/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3ForCausalLM",
+    "parent_library": "transformers.models.qwen3.modeling_qwen3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/qwen3-14b-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "down_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f8daeae83d8f2a2abbacbf644f6c61c9aa2292f2f9c6f4638eac0c4212fcc953
+size 256976504

output/buildwellai-qwen3-14b-v2/checkpoint-1400/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/chat_template.jinja

@@ -0,0 +1,97 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = message.content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (message.content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = message.content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ea3f1a999465a11701a6be3d777f22fc9f8dcc77d3b74259fe9dd4532bf2ae72
+size 131116517

output/buildwellai-qwen3-14b-v2/checkpoint-1400/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9625c3c98e4adc31b7f3f7a1132230be346233b4e94220d6ebad5d816e7a3d35
+size 14645

output/buildwellai-qwen3-14b-v2/checkpoint-1400/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7cf227604c10a82adf9d477ee377b51d0f5213823a475659b7355593ae3a4c9b
+size 1465

output/buildwellai-qwen3-14b-v2/checkpoint-1400/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

output/buildwellai-qwen3-14b-v2/checkpoint-1400/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 40960,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/trainer_state.json

@@ -0,0 +1,295 @@
+{
+  "best_global_step": 1400,
+  "best_metric": 0.5772307515144348,
+  "best_model_checkpoint": "/workspace/buildwellai-model-v2/scripts/../output/buildwellai-qwen3-14b-v2/checkpoint-1400",
+  "epoch": 0.8179959100204499,
+  "eval_steps": 200,
+  "global_step": 1400,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.029214139643587496,
+      "grad_norm": 1.361085057258606,
+      "learning_rate": 1.4285714285714286e-06,
+      "loss": 3.3312,
+      "step": 50
+    },
+    {
+      "epoch": 0.05842827928717499,
+      "grad_norm": 1.5474236011505127,
+      "learning_rate": 2.8862973760932948e-06,
+      "loss": 3.2436,
+      "step": 100
+    },
+    {
+      "epoch": 0.0876424189307625,
+      "grad_norm": 1.0977267026901245,
+      "learning_rate": 4.3440233236151605e-06,
+      "loss": 2.7672,
+      "step": 150
+    },
+    {
+      "epoch": 0.11685655857434998,
+      "grad_norm": 0.9992676973342896,
+      "learning_rate": 5.8017492711370275e-06,
+      "loss": 1.9203,
+      "step": 200
+    },
+    {
+      "epoch": 0.11685655857434998,
+      "eval_loss": 1.4733352661132812,
+      "eval_runtime": 76.5644,
+      "eval_samples_per_second": 18.821,
+      "eval_steps_per_second": 4.715,
+      "step": 200
+    },
+    {
+      "epoch": 0.14607069821793747,
+      "grad_norm": 0.739029586315155,
+      "learning_rate": 7.259475218658893e-06,
+      "loss": 1.1691,
+      "step": 250
+    },
+    {
+      "epoch": 0.175284837861525,
+      "grad_norm": 0.984306812286377,
+      "learning_rate": 8.717201166180759e-06,
+      "loss": 0.8688,
+      "step": 300
+    },
+    {
+      "epoch": 0.20449897750511248,
+      "grad_norm": 1.0378776788711548,
+      "learning_rate": 9.999906425502512e-06,
+      "loss": 0.8005,
+      "step": 350
+    },
+    {
+      "epoch": 0.23371311714869997,
+      "grad_norm": 0.7030986547470093,
+      "learning_rate": 9.991850810731995e-06,
+      "loss": 0.7501,
+      "step": 400
+    },
+    {
+      "epoch": 0.23371311714869997,
+      "eval_loss": 0.71233069896698,
+      "eval_runtime": 75.7382,
+      "eval_samples_per_second": 19.026,
+      "eval_steps_per_second": 4.766,
+      "step": 400
+    },
+    {
+      "epoch": 0.26292725679228746,
+      "grad_norm": 0.7112348079681396,
+      "learning_rate": 9.970822689941807e-06,
+      "loss": 0.7232,
+      "step": 450
+    },
+    {
+      "epoch": 0.29214139643587494,
+      "grad_norm": 0.7040561437606812,
+      "learning_rate": 9.936876709681668e-06,
+      "loss": 0.6858,
+      "step": 500
+    },
+    {
+      "epoch": 0.32135553607946243,
+      "grad_norm": 0.5420087575912476,
+      "learning_rate": 9.890101086617094e-06,
+      "loss": 0.6758,
+      "step": 550
+    },
+    {
+      "epoch": 0.35056967572305,
+      "grad_norm": 0.7667332887649536,
+      "learning_rate": 9.830617378277503e-06,
+      "loss": 0.6676,
+      "step": 600
+    },
+    {
+      "epoch": 0.35056967572305,
+      "eval_loss": 0.6397307515144348,
+      "eval_runtime": 75.4863,
+      "eval_samples_per_second": 19.09,
+      "eval_steps_per_second": 4.782,
+      "step": 600
+    },
+    {
+      "epoch": 0.37978381536663747,
+      "grad_norm": 0.709941565990448,
+      "learning_rate": 9.758580167160203e-06,
+      "loss": 0.6336,
+      "step": 650
+    },
+    {
+      "epoch": 0.40899795501022496,
+      "grad_norm": 0.509796142578125,
+      "learning_rate": 9.674176659011176e-06,
+      "loss": 0.6487,
+      "step": 700
+    },
+    {
+      "epoch": 0.43821209465381245,
+      "grad_norm": 0.696540117263794,
+      "learning_rate": 9.577626196326636e-06,
+      "loss": 0.6237,
+      "step": 750
+    },
+    {
+      "epoch": 0.46742623429739993,
+      "grad_norm": 0.5185802578926086,
+      "learning_rate": 9.46917968833962e-06,
+      "loss": 0.6352,
+      "step": 800
+    },
+    {
+      "epoch": 0.46742623429739993,
+      "eval_loss": 0.6110621690750122,
+      "eval_runtime": 75.3303,
+      "eval_samples_per_second": 19.129,
+      "eval_steps_per_second": 4.792,
+      "step": 800
+    },
+    {
+      "epoch": 0.4966403739409874,
+      "grad_norm": 0.6223486661911011,
+      "learning_rate": 9.349118958972965e-06,
+      "loss": 0.6465,
+      "step": 850
+    },
+    {
+      "epoch": 0.5258545135845749,
+      "grad_norm": 0.6150782108306885,
+      "learning_rate": 9.217756014453116e-06,
+      "loss": 0.6365,
+      "step": 900
+    },
+    {
+      "epoch": 0.5550686532281625,
+      "grad_norm": 0.5226706266403198,
+      "learning_rate": 9.07543223248809e-06,
+      "loss": 0.6095,
+      "step": 950
+    },
+    {
+      "epoch": 0.5842827928717499,
+      "grad_norm": 0.7013393044471741,
+      "learning_rate": 8.922517475116697e-06,
+      "loss": 0.6019,
+      "step": 1000
+    },
+    {
+      "epoch": 0.5842827928717499,
+      "eval_loss": 0.5948120951652527,
+      "eval_runtime": 77.78,
+      "eval_samples_per_second": 18.527,
+      "eval_steps_per_second": 4.641,
+      "step": 1000
+    },
+    {
+      "epoch": 0.6134969325153374,
+      "grad_norm": 0.7205643057823181,
+      "learning_rate": 8.75940912753447e-06,
+      "loss": 0.6086,
+      "step": 1050
+    },
+    {
+      "epoch": 0.6427110721589249,
+      "grad_norm": 0.5235279202461243,
+      "learning_rate": 8.586531065394169e-06,
+      "loss": 0.5858,
+      "step": 1100
+    },
+    {
+      "epoch": 0.6719252118025124,
+      "grad_norm": 0.5805732011795044,
+      "learning_rate": 8.404332553264548e-06,
+      "loss": 0.6023,
+      "step": 1150
+    },
+    {
+      "epoch": 0.7011393514461,
+      "grad_norm": 0.6715013384819031,
+      "learning_rate": 8.213287077110033e-06,
+      "loss": 0.6163,
+      "step": 1200
+    },
+    {
+      "epoch": 0.7011393514461,
+      "eval_loss": 0.5841032266616821,
+      "eval_runtime": 77.5353,
+      "eval_samples_per_second": 18.585,
+      "eval_steps_per_second": 4.656,
+      "step": 1200
+    },
+    {
+      "epoch": 0.7303534910896874,
+      "grad_norm": 0.6179790496826172,
+      "learning_rate": 8.013891113825348e-06,
+      "loss": 0.6079,
+      "step": 1250
+    },
+    {
+      "epoch": 0.7595676307332749,
+      "grad_norm": 0.6922735571861267,
+      "learning_rate": 7.806662841022781e-06,
+      "loss": 0.6136,
+      "step": 1300
+    },
+    {
+      "epoch": 0.7887817703768624,
+      "grad_norm": 0.5134425163269043,
+      "learning_rate": 7.592140790424999e-06,
+      "loss": 0.5864,
+      "step": 1350
+    },
+    {
+      "epoch": 0.8179959100204499,
+      "grad_norm": 0.704928457736969,
+      "learning_rate": 7.370882448362868e-06,
+      "loss": 0.6287,
+      "step": 1400
+    },
+    {
+      "epoch": 0.8179959100204499,
+      "eval_loss": 0.5772307515144348,
+      "eval_runtime": 76.579,
+      "eval_samples_per_second": 18.817,
+      "eval_steps_per_second": 4.714,
+      "step": 1400
+    }
+  ],
+  "logging_steps": 50,
+  "max_steps": 3424,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 3,
+        "early_stopping_threshold": 0.01
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 1
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.5038598130256896e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1400/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4c420a33adb38f7d6f12b2f291fb0cc9ef19643591157b66a8d09e4a26a7683
+size 6417

output/buildwellai-qwen3-14b-v2/checkpoint-1600/README.md

@@ -0,0 +1,210 @@
+---
+base_model: unsloth/qwen3-14b-unsloth-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/qwen3-14b-unsloth-bnb-4bit
+- lora
+- sft
+- transformers
+- trl
+- unsloth
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

output/buildwellai-qwen3-14b-v2/checkpoint-1600/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3ForCausalLM",
+    "parent_library": "transformers.models.qwen3.modeling_qwen3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/qwen3-14b-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "eva_config": null,
+  "exclude_modules": null,
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "o_proj",
+    "k_proj",
+    "q_proj",
+    "down_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1600/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3c0695c9a566c91961a2338989c3a0e59383e2d585a20fd98b9e244fac97e3a
+size 256976504

output/buildwellai-qwen3-14b-v2/checkpoint-1600/added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1600/chat_template.jinja

@@ -0,0 +1,97 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = message.content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (message.content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = message.content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

output/buildwellai-qwen3-14b-v2/checkpoint-1600/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:165063232c9c1b49c8b32e10ad3b9b34fd2f45404f9b0b249d8d819e700619f4
+size 131116517

output/buildwellai-qwen3-14b-v2/checkpoint-1600/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e62702e1866bea8047f5d706df48b422a403b592ab0372d9ecdcb828bba1d5a
+size 14645

output/buildwellai-qwen3-14b-v2/checkpoint-1600/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a249ba8fac1ae07f47df4390041a4569296e6ea1288f256e2ba90de6ebc1bcd
+size 1465

output/buildwellai-qwen3-14b-v2/checkpoint-1600/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1600/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
+size 11422654

output/buildwellai-qwen3-14b-v2/checkpoint-1600/tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 40960,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1600/trainer_state.json

@@ -0,0 +1,331 @@
+{
+  "best_global_step": 1600,
+  "best_metric": 0.5714595913887024,
+  "best_model_checkpoint": "/workspace/buildwellai-model-v2/scripts/../output/buildwellai-qwen3-14b-v2/checkpoint-1600",
+  "epoch": 0.9348524685947999,
+  "eval_steps": 200,
+  "global_step": 1600,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.029214139643587496,
+      "grad_norm": 1.361085057258606,
+      "learning_rate": 1.4285714285714286e-06,
+      "loss": 3.3312,
+      "step": 50
+    },
+    {
+      "epoch": 0.05842827928717499,
+      "grad_norm": 1.5474236011505127,
+      "learning_rate": 2.8862973760932948e-06,
+      "loss": 3.2436,
+      "step": 100
+    },
+    {
+      "epoch": 0.0876424189307625,
+      "grad_norm": 1.0977267026901245,
+      "learning_rate": 4.3440233236151605e-06,
+      "loss": 2.7672,
+      "step": 150
+    },
+    {
+      "epoch": 0.11685655857434998,
+      "grad_norm": 0.9992676973342896,
+      "learning_rate": 5.8017492711370275e-06,
+      "loss": 1.9203,
+      "step": 200
+    },
+    {
+      "epoch": 0.11685655857434998,
+      "eval_loss": 1.4733352661132812,
+      "eval_runtime": 76.5644,
+      "eval_samples_per_second": 18.821,
+      "eval_steps_per_second": 4.715,
+      "step": 200
+    },
+    {
+      "epoch": 0.14607069821793747,
+      "grad_norm": 0.739029586315155,
+      "learning_rate": 7.259475218658893e-06,
+      "loss": 1.1691,
+      "step": 250
+    },
+    {
+      "epoch": 0.175284837861525,
+      "grad_norm": 0.984306812286377,
+      "learning_rate": 8.717201166180759e-06,
+      "loss": 0.8688,
+      "step": 300
+    },
+    {
+      "epoch": 0.20449897750511248,
+      "grad_norm": 1.0378776788711548,
+      "learning_rate": 9.999906425502512e-06,
+      "loss": 0.8005,
+      "step": 350
+    },
+    {
+      "epoch": 0.23371311714869997,
+      "grad_norm": 0.7030986547470093,
+      "learning_rate": 9.991850810731995e-06,
+      "loss": 0.7501,
+      "step": 400
+    },
+    {
+      "epoch": 0.23371311714869997,
+      "eval_loss": 0.71233069896698,
+      "eval_runtime": 75.7382,
+      "eval_samples_per_second": 19.026,
+      "eval_steps_per_second": 4.766,
+      "step": 400
+    },
+    {
+      "epoch": 0.26292725679228746,
+      "grad_norm": 0.7112348079681396,
+      "learning_rate": 9.970822689941807e-06,
+      "loss": 0.7232,
+      "step": 450
+    },
+    {
+      "epoch": 0.29214139643587494,
+      "grad_norm": 0.7040561437606812,
+      "learning_rate": 9.936876709681668e-06,
+      "loss": 0.6858,
+      "step": 500
+    },
+    {
+      "epoch": 0.32135553607946243,
+      "grad_norm": 0.5420087575912476,
+      "learning_rate": 9.890101086617094e-06,
+      "loss": 0.6758,
+      "step": 550
+    },
+    {
+      "epoch": 0.35056967572305,
+      "grad_norm": 0.7667332887649536,
+      "learning_rate": 9.830617378277503e-06,
+      "loss": 0.6676,
+      "step": 600
+    },
+    {
+      "epoch": 0.35056967572305,
+      "eval_loss": 0.6397307515144348,
+      "eval_runtime": 75.4863,
+      "eval_samples_per_second": 19.09,
+      "eval_steps_per_second": 4.782,
+      "step": 600
+    },
+    {
+      "epoch": 0.37978381536663747,
+      "grad_norm": 0.709941565990448,
+      "learning_rate": 9.758580167160203e-06,
+      "loss": 0.6336,
+      "step": 650
+    },
+    {
+      "epoch": 0.40899795501022496,
+      "grad_norm": 0.509796142578125,
+      "learning_rate": 9.674176659011176e-06,
+      "loss": 0.6487,
+      "step": 700
+    },
+    {
+      "epoch": 0.43821209465381245,
+      "grad_norm": 0.696540117263794,
+      "learning_rate": 9.577626196326636e-06,
+      "loss": 0.6237,
+      "step": 750
+    },
+    {
+      "epoch": 0.46742623429739993,
+      "grad_norm": 0.5185802578926086,
+      "learning_rate": 9.46917968833962e-06,
+      "loss": 0.6352,
+      "step": 800
+    },
+    {
+      "epoch": 0.46742623429739993,
+      "eval_loss": 0.6110621690750122,
+      "eval_runtime": 75.3303,
+      "eval_samples_per_second": 19.129,
+      "eval_steps_per_second": 4.792,
+      "step": 800
+    },
+    {
+      "epoch": 0.4966403739409874,
+      "grad_norm": 0.6223486661911011,
+      "learning_rate": 9.349118958972965e-06,
+      "loss": 0.6465,
+      "step": 850
+    },
+    {
+      "epoch": 0.5258545135845749,
+      "grad_norm": 0.6150782108306885,
+      "learning_rate": 9.217756014453116e-06,
+      "loss": 0.6365,
+      "step": 900
+    },
+    {
+      "epoch": 0.5550686532281625,
+      "grad_norm": 0.5226706266403198,
+      "learning_rate": 9.07543223248809e-06,
+      "loss": 0.6095,
+      "step": 950
+    },
+    {
+      "epoch": 0.5842827928717499,
+      "grad_norm": 0.7013393044471741,
+      "learning_rate": 8.922517475116697e-06,
+      "loss": 0.6019,
+      "step": 1000
+    },
+    {
+      "epoch": 0.5842827928717499,
+      "eval_loss": 0.5948120951652527,
+      "eval_runtime": 77.78,
+      "eval_samples_per_second": 18.527,
+      "eval_steps_per_second": 4.641,
+      "step": 1000
+    },
+    {
+      "epoch": 0.6134969325153374,
+      "grad_norm": 0.7205643057823181,
+      "learning_rate": 8.75940912753447e-06,
+      "loss": 0.6086,
+      "step": 1050
+    },
+    {
+      "epoch": 0.6427110721589249,
+      "grad_norm": 0.5235279202461243,
+      "learning_rate": 8.586531065394169e-06,
+      "loss": 0.5858,
+      "step": 1100
+    },
+    {
+      "epoch": 0.6719252118025124,
+      "grad_norm": 0.5805732011795044,
+      "learning_rate": 8.404332553264548e-06,
+      "loss": 0.6023,
+      "step": 1150
+    },
+    {
+      "epoch": 0.7011393514461,
+      "grad_norm": 0.6715013384819031,
+      "learning_rate": 8.213287077110033e-06,
+      "loss": 0.6163,
+      "step": 1200
+    },
+    {
+      "epoch": 0.7011393514461,
+      "eval_loss": 0.5841032266616821,
+      "eval_runtime": 77.5353,
+      "eval_samples_per_second": 18.585,
+      "eval_steps_per_second": 4.656,
+      "step": 1200
+    },
+    {
+      "epoch": 0.7303534910896874,
+      "grad_norm": 0.6179790496826172,
+      "learning_rate": 8.013891113825348e-06,
+      "loss": 0.6079,
+      "step": 1250
+    },
+    {
+      "epoch": 0.7595676307332749,
+      "grad_norm": 0.6922735571861267,
+      "learning_rate": 7.806662841022781e-06,
+      "loss": 0.6136,
+      "step": 1300
+    },
+    {
+      "epoch": 0.7887817703768624,
+      "grad_norm": 0.5134425163269043,
+      "learning_rate": 7.592140790424999e-06,
+      "loss": 0.5864,
+      "step": 1350
+    },
+    {
+      "epoch": 0.8179959100204499,
+      "grad_norm": 0.704928457736969,
+      "learning_rate": 7.370882448362868e-06,
+      "loss": 0.6287,
+      "step": 1400
+    },
+    {
+      "epoch": 0.8179959100204499,
+      "eval_loss": 0.5772307515144348,
+      "eval_runtime": 76.579,
+      "eval_samples_per_second": 18.817,
+      "eval_steps_per_second": 4.714,
+      "step": 1400
+    },
+    {
+      "epoch": 0.8472100496640373,
+      "grad_norm": 0.6850032210350037,
+      "learning_rate": 7.143462807015271e-06,
+      "loss": 0.5862,
+      "step": 1450
+    },
+    {
+      "epoch": 0.8764241893076249,
+      "grad_norm": 0.4771438539028168,
+      "learning_rate": 6.910472870155804e-06,
+      "loss": 0.5867,
+      "step": 1500
+    },
+    {
+      "epoch": 0.9056383289512124,
+      "grad_norm": 0.665285050868988,
+      "learning_rate": 6.672518117289569e-06,
+      "loss": 0.5752,
+      "step": 1550
+    },
+    {
+      "epoch": 0.9348524685947999,
+      "grad_norm": 0.6237497329711914,
+      "learning_rate": 6.430216930171352e-06,
+      "loss": 0.5766,
+      "step": 1600
+    },
+    {
+      "epoch": 0.9348524685947999,
+      "eval_loss": 0.5714595913887024,
+      "eval_runtime": 75.4593,
+      "eval_samples_per_second": 19.096,
+      "eval_steps_per_second": 4.784,
+      "step": 1600
+    }
+  ],
+  "logging_steps": 50,
+  "max_steps": 3424,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 200,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 3,
+        "early_stopping_threshold": 0.01
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 2
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.000349389504205e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

output/buildwellai-qwen3-14b-v2/checkpoint-1600/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e4c420a33adb38f7d6f12b2f291fb0cc9ef19643591157b66a8d09e4a26a7683
+size 6417