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  1. .gitattributes +6 -0
  2. .ipynb_checkpoints/README-checkpoint.md +129 -0
  3. .ipynb_checkpoints/test_model-checkpoint.py +32 -0
  4. README.md +126 -3
  5. adapter_config.json +42 -0
  6. adapter_model.safetensors +3 -0
  7. added_tokens.json +24 -0
  8. chat_template.jinja +54 -0
  9. checkpoint-200/README.md +208 -0
  10. checkpoint-200/adapter_config.json +42 -0
  11. checkpoint-200/adapter_model.safetensors +3 -0
  12. checkpoint-200/added_tokens.json +24 -0
  13. checkpoint-200/chat_template.jinja +54 -0
  14. checkpoint-200/merges.txt +0 -0
  15. checkpoint-200/optimizer.pt +3 -0
  16. checkpoint-200/rng_state.pth +3 -0
  17. checkpoint-200/scheduler.pt +3 -0
  18. checkpoint-200/special_tokens_map.json +31 -0
  19. checkpoint-200/tokenizer.json +3 -0
  20. checkpoint-200/tokenizer_config.json +207 -0
  21. checkpoint-200/trainer_state.json +2234 -0
  22. checkpoint-200/training_args.bin +3 -0
  23. checkpoint-200/vocab.json +0 -0
  24. checkpoint-300/README.md +208 -0
  25. checkpoint-300/adapter_config.json +42 -0
  26. checkpoint-300/adapter_model.safetensors +3 -0
  27. checkpoint-300/added_tokens.json +24 -0
  28. checkpoint-300/chat_template.jinja +54 -0
  29. checkpoint-300/merges.txt +0 -0
  30. checkpoint-300/optimizer.pt +3 -0
  31. checkpoint-300/rng_state.pth +3 -0
  32. checkpoint-300/scheduler.pt +3 -0
  33. checkpoint-300/special_tokens_map.json +31 -0
  34. checkpoint-300/tokenizer.json +3 -0
  35. checkpoint-300/tokenizer_config.json +207 -0
  36. checkpoint-300/trainer_state.json +0 -0
  37. checkpoint-300/training_args.bin +3 -0
  38. checkpoint-300/vocab.json +0 -0
  39. checkpoint-400/README.md +208 -0
  40. checkpoint-400/adapter_config.json +42 -0
  41. checkpoint-400/adapter_model.safetensors +3 -0
  42. checkpoint-400/added_tokens.json +24 -0
  43. checkpoint-400/chat_template.jinja +54 -0
  44. checkpoint-400/merges.txt +0 -0
  45. checkpoint-400/optimizer.pt +3 -0
  46. checkpoint-400/rng_state.pth +3 -0
  47. checkpoint-400/scheduler.pt +3 -0
  48. checkpoint-400/special_tokens_map.json +31 -0
  49. checkpoint-400/tokenizer.json +3 -0
  50. checkpoint-400/tokenizer_config.json +207 -0
.gitattributes CHANGED
@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ checkpoint-432/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ img-assets/header.jpg filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
.ipynb_checkpoints/README-checkpoint.md ADDED
@@ -0,0 +1,129 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
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+ tags:
5
+ - n8n
6
+ - workflow
7
+ - automation
8
+ - fine-tuned
9
+ - code-generation
10
+ - qlora
11
+ datasets:
12
+ - mbakgun/n8nbuilder-n8n-workflows-dataset
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+ pipeline_tag: text-generation
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+ language:
15
+ - en
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+ ---
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+
18
+ # Qwen2.5-Coder-14B-n8n-Workflow-Generator
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+
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+ ![n8nbuilder.dev](./img-assets/header.jpg)
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+
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+ Fine-tuned Qwen2.5-Coder-14B-Instruct model specialized for generating n8n workflow JSONs from natural language descriptions.
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+
24
+ ## Model Description
25
+
26
+ This model is a QLoRA fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on the [n8nbuilder-n8n-workflows-dataset](https://huggingface.co/datasets/mbakgun/n8nbuilder-n8n-workflows-dataset), containing +2.5K n8n workflow templates.
27
+
28
+ **Training Details:**
29
+ - **Base Model**: Qwen/Qwen2.5-Coder-14B-Instruct
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+ - **Method**: QLoRA (4-bit quantization)
31
+ - **LoRA Rank**: 32
32
+ - **LoRA Alpha**: 64
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+ - **Training Steps**: 432 (3 epochs)
34
+ - **Sequence Length**: 8192 tokens
35
+ - **Learning Rate**: 2e-4
36
+
37
+ ## Usage
38
+
39
+ ### Transformers
40
+
41
+ ```python
42
+ from transformers import AutoModelForCausalLM, AutoTokenizer
43
+ import torch
44
+
45
+ model_name = "mbakgun/Qwen2.5-Coder-14B-n8n-Workflow-Generator"
46
+ tokenizer = AutoTokenizer.from_pretrained(model_name)
47
+ model = AutoModelForCausalLM.from_pretrained(
48
+ model_name,
49
+ torch_dtype=torch.bfloat16,
50
+ device_map="auto"
51
+ )
52
+
53
+ system_prompt = "You are an expert n8n workflow generation assistant. Your goal is to create valid, efficient, and error-free n8n workflow JSONs based on the user's requirements. Always output ONLY the valid JSON workflow."
54
+
55
+ user_input = "Create a workflow that monitors a RSS feed and sends new items to Discord."
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+
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+ prompt = f"{system_prompt}\n\n{user_input}"
58
+
59
+ inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
60
+ outputs = model.generate(
61
+ **inputs,
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+ max_new_tokens=4096,
63
+ temperature=0.7,
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+ do_sample=True
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+ )
66
+
67
+ workflow_json = tokenizer.decode(outputs[0], skip_special_tokens=True)
68
+ print(workflow_json)
69
+ ```
70
+
71
+ ### MLX (Apple Silicon)
72
+
73
+ ```bash
74
+ # Convert to MLX
75
+ mlx_lm.convert \
76
+ --hf-path mbakgun/Qwen2.5-Coder-14B-n8n-Workflow-Generator \
77
+ --mlx-path ./qwen25-n8n-mlx \
78
+ -q
79
+
80
+ # Generate
81
+ mlx_lm.generate \
82
+ --model ./qwen25-n8n-mlx \
83
+ --prompt "You are an expert n8n workflow generation assistant...\n\nCreate a workflow that sends Slack notifications when GitHub issues are created." \
84
+ --max-tokens 4096
85
+ ```
86
+
87
+ ## Training Data
88
+
89
+ This model was fine-tuned on the [n8nbuilder-n8n-workflows-dataset](https://huggingface.co/datasets/mbakgun/n8nbuilder-n8n-workflows-dataset), which contains:
90
+ - **2,304 workflow templates** (after filtering sequences >8192 tokens)
91
+ - Format: Alpaca (instruction/input/output)
92
+ - Source: n8n.io public template gallery
93
+ - [n8nbuilder.dev - Create n8n Workflows in Seconds with AI](https://n8nbuilder.dev)
94
+
95
+ ## Performance
96
+
97
+ - **Training Speed**: ~33.85s/step on H100 PCIe
98
+ - **VRAM Usage**: ~30GB (4-bit QLoRA)
99
+ - **Inference**: ~25-40 tok/s on Mac Mini M4 64GB (MLX)
100
+
101
+ ## Limitations
102
+
103
+ - Generated workflows may require manual validation
104
+ - Long workflows (>8192 tokens) may be truncated
105
+ - Model trained on public templates only
106
+
107
+
108
+
109
+ ## Citation
110
+
111
+ ```bibtex
112
+ @model{qwen25_coder_n8n_2025,
113
+ title={Qwen2.5-Coder-14B-n8n-Workflow-Generator},
114
+ author={mbakgun},
115
+ year={2025},
116
+ base_model={Qwen/Qwen2.5-Coder-14B-Instruct},
117
+ dataset={mbakgun/n8nbuilder-n8n-workflows-dataset},
118
+ url={https://huggingface.co/mbakgun/Qwen2.5-Coder-14B-n8n-Workflow-Generator}
119
+ }
120
+ ```
121
+
122
+ ## Acknowledgments
123
+
124
+ - [Qwen Team](https://huggingface.co/Qwen) for the base model
125
+ - [n8n](https://n8n.io) for the workflow automation platform
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+ - [n8n-mcp](https://github.com/czlonkowski/n8n-mcp) for template indexing
127
+
128
+ ## License
129
+ Apache 2.0
.ipynb_checkpoints/test_model-checkpoint.py ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ import torch
2
+ from transformers import AutoModelForCausalLM, AutoTokenizer
3
+ from peft import PeftModel
4
+
5
+ base_model_name = "Qwen/Qwen2.5-Coder-14B-Instruct"
6
+ adapter_path = "./outputs/qwen25-coder-n8n"
7
+
8
+ print("Loading base model...")
9
+ base_model = AutoModelForCausalLM.from_pretrained(
10
+ base_model_name,
11
+ torch_dtype=torch.bfloat16,
12
+ device_map="auto",
13
+ trust_remote_code=True
14
+ )
15
+
16
+ print("Loading adapter...")
17
+ model = PeftModel.from_pretrained(base_model, adapter_path)
18
+ tokenizer = AutoTokenizer.from_pretrained(base_model_name)
19
+
20
+ system_prompt = "You are an expert n8n workflow generation assistant. Your goal is to create valid, efficient, and error-free n8n workflow JSONs based on the user's requirements. Always output ONLY the valid JSON workflow."
21
+ user_input = "Create a workflow that gets data from a webhook and sends it to Slack. Also have a sticky note as documentation."
22
+
23
+ messages = [
24
+ {"role": "system", "content": system_prompt},
25
+ {"role": "user", "content": user_input}
26
+ ]
27
+ text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
28
+ inputs = tokenizer([text], return_tensors="pt").to(model.device)
29
+
30
+ print("Generating workflow...")
31
+ outputs = model.generate(**inputs, max_new_tokens=2048, do_sample=True, temperature=0.1)
32
+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
README.md CHANGED
@@ -1,3 +1,126 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: apache-2.0
4
+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
5
+ tags:
6
+ - axolotl
7
+ - base_model:adapter:Qwen/Qwen2.5-Coder-14B-Instruct
8
+ - lora
9
+ - transformers
10
+ datasets:
11
+ - mbakgun/n8nbuilder-n8n-workflows-dataset
12
+ pipeline_tag: text-generation
13
+ model-index:
14
+ - name: outputs/qwen25-coder-n8n
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+ results: []
16
+ ---
17
+
18
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
19
+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
23
+
24
+ axolotl version: `0.13.0.dev0`
25
+ ```yaml
26
+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
27
+
28
+ load_in_4bit: true
29
+ adapter: qlora
30
+
31
+ bnb_4bit_compute_dtype: bfloat16
32
+ bnb_4bit_use_double_quant: true
33
+ bnb_4bit_quant_type: nf4
34
+
35
+ lora_r: 32
36
+ lora_alpha: 64
37
+ lora_dropout: 0.05
38
+ lora_target_modules:
39
+ - q_proj
40
+ - k_proj
41
+ - v_proj
42
+ - o_proj
43
+ - gate_proj
44
+ - up_proj
45
+ - down_proj
46
+
47
+ datasets:
48
+ - path: mbakgun/n8nbuilder-n8n-workflows-dataset
49
+ type: alpaca
50
+
51
+ sequence_len: 8192
52
+ sample_packing: false
53
+ pad_to_sequence_len: false
54
+
55
+ micro_batch_size: 1
56
+ gradient_accumulation_steps: 16
57
+ num_epochs: 3
58
+
59
+ learning_rate: 2e-4
60
+ lr_scheduler: cosine
61
+ warmup_ratio: 0.1
62
+ weight_decay: 0.01
63
+
64
+ optimizer: adamw_bnb_8bit
65
+ bf16: true
66
+ tf32: true
67
+
68
+ gradient_checkpointing: true
69
+ gradient_checkpointing_kwargs:
70
+ use_reentrant: false
71
+
72
+ train_on_inputs: false
73
+
74
+ output_dir: ./outputs/qwen25-coder-n8n
75
+ save_strategy: steps
76
+ save_steps: 100
77
+ logging_steps: 1
78
+
79
+ flash_attention: true
80
+ ```
81
+
82
+ </details><br>
83
+
84
+ # outputs/qwen25-coder-n8n
85
+
86
+ This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on the mbakgun/n8nbuilder-n8n-workflows-dataset dataset.
87
+
88
+ ## Model description
89
+
90
+ More information needed
91
+
92
+ ## Intended uses & limitations
93
+
94
+ More information needed
95
+
96
+ ## Training and evaluation data
97
+
98
+ More information needed
99
+
100
+ ## Training procedure
101
+
102
+ ### Training hyperparameters
103
+
104
+ The following hyperparameters were used during training:
105
+ - learning_rate: 0.0002
106
+ - train_batch_size: 1
107
+ - eval_batch_size: 1
108
+ - seed: 42
109
+ - gradient_accumulation_steps: 16
110
+ - total_train_batch_size: 16
111
+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
112
+ - lr_scheduler_type: cosine
113
+ - lr_scheduler_warmup_steps: 43
114
+ - training_steps: 432
115
+
116
+ ### Training results
117
+
118
+
119
+
120
+ ### Framework versions
121
+
122
+ - PEFT 0.17.1
123
+ - Transformers 4.57.0
124
+ - Pytorch 2.7.1+cu126
125
+ - Datasets 4.0.0
126
+ - Tokenizers 0.22.1
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+ {%- if tools %}
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+ {%- if messages[0]['role'] == 'system' %}
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+ {%- else %}
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+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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+ {%- endif %}
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+ {{- "\n\n# 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>" }}
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+ {%- endif %}
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+ {%- for message in messages %}
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+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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+ {%- if tool_call.function is defined %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '\n<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {{- tool_call.arguments | tojson }}
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+ {{- '}\n</tool_call>' }}
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+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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checkpoint-200/README.md ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - axolotl
7
+ - base_model:adapter:Qwen/Qwen2.5-Coder-14B-Instruct
8
+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
16
+
17
+
18
+ ## Model Details
19
+
20
+ ### Model Description
21
+
22
+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+
25
+
26
+ - **Developed by:** [More Information Needed]
27
+ - **Funded by [optional]:** [More Information Needed]
28
+ - **Shared by [optional]:** [More Information Needed]
29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
34
+ ### Model Sources [optional]
35
+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** [More Information Needed]
39
+ - **Paper [optional]:** [More Information Needed]
40
+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
+ [More Information Needed]
57
+
58
+ ### Out-of-Scope Use
59
+
60
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
68
+ [More Information Needed]
69
+
70
+ ### Recommendations
71
+
72
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
74
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
75
+
76
+ ## How to Get Started with the Model
77
+
78
+ Use the code below to get started with the model.
79
+
80
+ [More Information Needed]
81
+
82
+ ## Training Details
83
+
84
+ ### Training Data
85
+
86
+ <!-- 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. -->
87
+
88
+ [More Information Needed]
89
+
90
+ ### Training Procedure
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
94
+ #### Preprocessing [optional]
95
+
96
+ [More Information Needed]
97
+
98
+
99
+ #### Training Hyperparameters
100
+
101
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
107
+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
131
+ [More Information Needed]
132
+
133
+ ### Results
134
+
135
+ [More Information Needed]
136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
+
145
+ [More Information Needed]
146
+
147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
151
+ 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).
152
+
153
+ - **Hardware Type:** [More Information Needed]
154
+ - **Hours used:** [More Information Needed]
155
+ - **Cloud Provider:** [More Information Needed]
156
+ - **Compute Region:** [More Information Needed]
157
+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
+
163
+ [More Information Needed]
164
+
165
+ ### Compute Infrastructure
166
+
167
+ [More Information Needed]
168
+
169
+ #### Hardware
170
+
171
+ [More Information Needed]
172
+
173
+ #### Software
174
+
175
+ [More Information Needed]
176
+
177
+ ## Citation [optional]
178
+
179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
+
181
+ **BibTeX:**
182
+
183
+ [More Information Needed]
184
+
185
+ **APA:**
186
+
187
+ [More Information Needed]
188
+
189
+ ## Glossary [optional]
190
+
191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
+
201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
+
205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.17.1
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+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - axolotl
7
+ - base_model:adapter:Qwen/Qwen2.5-Coder-14B-Instruct
8
+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
16
+
17
+
18
+ ## Model Details
19
+
20
+ ### Model Description
21
+
22
+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+
25
+
26
+ - **Developed by:** [More Information Needed]
27
+ - **Funded by [optional]:** [More Information Needed]
28
+ - **Shared by [optional]:** [More Information Needed]
29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
34
+ ### Model Sources [optional]
35
+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** [More Information Needed]
39
+ - **Paper [optional]:** [More Information Needed]
40
+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
+ [More Information Needed]
57
+
58
+ ### Out-of-Scope Use
59
+
60
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
68
+ [More Information Needed]
69
+
70
+ ### Recommendations
71
+
72
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
74
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
75
+
76
+ ## How to Get Started with the Model
77
+
78
+ Use the code below to get started with the model.
79
+
80
+ [More Information Needed]
81
+
82
+ ## Training Details
83
+
84
+ ### Training Data
85
+
86
+ <!-- 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. -->
87
+
88
+ [More Information Needed]
89
+
90
+ ### Training Procedure
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
94
+ #### Preprocessing [optional]
95
+
96
+ [More Information Needed]
97
+
98
+
99
+ #### Training Hyperparameters
100
+
101
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
107
+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
131
+ [More Information Needed]
132
+
133
+ ### Results
134
+
135
+ [More Information Needed]
136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
+
145
+ [More Information Needed]
146
+
147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
151
+ 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).
152
+
153
+ - **Hardware Type:** [More Information Needed]
154
+ - **Hours used:** [More Information Needed]
155
+ - **Cloud Provider:** [More Information Needed]
156
+ - **Compute Region:** [More Information Needed]
157
+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
+
163
+ [More Information Needed]
164
+
165
+ ### Compute Infrastructure
166
+
167
+ [More Information Needed]
168
+
169
+ #### Hardware
170
+
171
+ [More Information Needed]
172
+
173
+ #### Software
174
+
175
+ [More Information Needed]
176
+
177
+ ## Citation [optional]
178
+
179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
+
181
+ **BibTeX:**
182
+
183
+ [More Information Needed]
184
+
185
+ **APA:**
186
+
187
+ [More Information Needed]
188
+
189
+ ## Glossary [optional]
190
+
191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
+
201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
+
205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.17.1
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+ ---
2
+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - axolotl
7
+ - base_model:adapter:Qwen/Qwen2.5-Coder-14B-Instruct
8
+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
16
+
17
+
18
+ ## Model Details
19
+
20
+ ### Model Description
21
+
22
+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+
25
+
26
+ - **Developed by:** [More Information Needed]
27
+ - **Funded by [optional]:** [More Information Needed]
28
+ - **Shared by [optional]:** [More Information Needed]
29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
34
+ ### Model Sources [optional]
35
+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** [More Information Needed]
39
+ - **Paper [optional]:** [More Information Needed]
40
+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
+ [More Information Needed]
57
+
58
+ ### Out-of-Scope Use
59
+
60
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
68
+ [More Information Needed]
69
+
70
+ ### Recommendations
71
+
72
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
74
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
75
+
76
+ ## How to Get Started with the Model
77
+
78
+ Use the code below to get started with the model.
79
+
80
+ [More Information Needed]
81
+
82
+ ## Training Details
83
+
84
+ ### Training Data
85
+
86
+ <!-- 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. -->
87
+
88
+ [More Information Needed]
89
+
90
+ ### Training Procedure
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
94
+ #### Preprocessing [optional]
95
+
96
+ [More Information Needed]
97
+
98
+
99
+ #### Training Hyperparameters
100
+
101
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
107
+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
131
+ [More Information Needed]
132
+
133
+ ### Results
134
+
135
+ [More Information Needed]
136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
+
145
+ [More Information Needed]
146
+
147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
151
+ 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).
152
+
153
+ - **Hardware Type:** [More Information Needed]
154
+ - **Hours used:** [More Information Needed]
155
+ - **Cloud Provider:** [More Information Needed]
156
+ - **Compute Region:** [More Information Needed]
157
+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
+
163
+ [More Information Needed]
164
+
165
+ ### Compute Infrastructure
166
+
167
+ [More Information Needed]
168
+
169
+ #### Hardware
170
+
171
+ [More Information Needed]
172
+
173
+ #### Software
174
+
175
+ [More Information Needed]
176
+
177
+ ## Citation [optional]
178
+
179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
+
181
+ **BibTeX:**
182
+
183
+ [More Information Needed]
184
+
185
+ **APA:**
186
+
187
+ [More Information Needed]
188
+
189
+ ## Glossary [optional]
190
+
191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
+
201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
+
205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.17.1
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