darwinkernelpanic commited on
Commit
489139c
·
verified ·
1 Parent(s): 186a5a8

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +148 -86
README.md CHANGED
@@ -6,202 +6,264 @@ tags:
6
  - base_model:adapter:codellama/CodeLlama-7b-Instruct-hf
7
  - lora
8
  - transformers
 
 
 
 
 
9
  ---
10
 
11
- # Model Card for Model ID
12
 
13
- <!-- Provide a quick summary of what the model is/does. -->
14
 
 
15
 
 
16
 
17
  ## Model Details
18
 
19
  ### Model Description
20
 
21
- <!-- Provide a longer summary of what this model is. -->
22
-
23
 
 
24
 
25
- - **Developed by:** [More Information Needed]
26
- - **Funded by [optional]:** [More Information Needed]
27
- - **Shared by [optional]:** [More Information Needed]
28
- - **Model type:** [More Information Needed]
29
- - **Language(s) (NLP):** [More Information Needed]
30
- - **License:** [More Information Needed]
31
- - **Finetuned from model [optional]:** [More Information Needed]
32
 
33
- ### Model Sources [optional]
34
 
35
- <!-- Provide the basic links for the model. -->
 
 
36
 
37
- - **Repository:** [More Information Needed]
38
- - **Paper [optional]:** [More Information Needed]
39
- - **Demo [optional]:** [More Information Needed]
40
 
41
  ## Uses
42
 
43
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
44
-
45
  ### Direct Use
46
 
47
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
 
 
 
 
 
48
 
49
- [More Information Needed]
50
 
51
- ### Downstream Use [optional]
52
 
53
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
54
 
55
- [More Information Needed]
 
 
 
56
 
57
  ### Out-of-Scope Use
58
 
59
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
60
 
61
- [More Information Needed]
 
 
 
62
 
63
- ## Bias, Risks, and Limitations
64
 
65
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
66
 
67
- [More Information Needed]
 
 
 
68
 
69
  ### Recommendations
70
 
71
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
 
 
 
 
 
72
 
73
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
74
 
75
  ## How to Get Started with the Model
76
 
77
- Use the code below to get started with the model.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78
 
79
- [More Information Needed]
 
 
 
80
 
81
  ## Training Details
82
 
83
  ### Training Data
84
 
85
- <!-- 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. -->
86
 
87
- [More Information Needed]
 
 
 
88
 
89
- ### Training Procedure
90
 
91
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
92
 
93
- #### Preprocessing [optional]
94
 
95
- [More Information Needed]
96
 
 
 
 
97
 
98
  #### Training Hyperparameters
99
 
100
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
101
 
102
- #### Speeds, Sizes, Times [optional]
103
 
104
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
 
 
105
 
106
- [More Information Needed]
107
 
108
  ## Evaluation
109
 
110
- <!-- This section describes the evaluation protocols and provides the results. -->
111
-
112
  ### Testing Data, Factors & Metrics
113
 
114
  #### Testing Data
115
 
116
- <!-- This should link to a Dataset Card if possible. -->
117
-
118
- [More Information Needed]
119
 
120
  #### Factors
121
 
122
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
123
-
124
- [More Information Needed]
125
 
126
  #### Metrics
127
 
128
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
129
-
130
- [More Information Needed]
131
 
132
  ### Results
133
 
134
- [More Information Needed]
 
 
 
 
135
 
136
  #### Summary
137
 
 
138
 
 
139
 
140
- ## Model Examination [optional]
141
 
142
- <!-- Relevant interpretability work for the model goes here -->
143
 
144
- [More Information Needed]
145
 
146
  ## Environmental Impact
147
 
148
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
149
 
150
- 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).
 
 
 
 
151
 
152
- - **Hardware Type:** [More Information Needed]
153
- - **Hours used:** [More Information Needed]
154
- - **Cloud Provider:** [More Information Needed]
155
- - **Compute Region:** [More Information Needed]
156
- - **Carbon Emitted:** [More Information Needed]
157
 
158
- ## Technical Specifications [optional]
159
 
160
  ### Model Architecture and Objective
161
 
162
- [More Information Needed]
 
 
163
 
164
  ### Compute Infrastructure
165
 
166
- [More Information Needed]
167
-
168
  #### Hardware
169
 
170
- [More Information Needed]
171
 
172
  #### Software
173
 
174
- [More Information Needed]
 
 
175
 
176
- ## Citation [optional]
177
 
178
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
179
 
180
  **BibTeX:**
181
 
182
- [More Information Needed]
 
 
 
 
 
 
 
 
183
 
184
  **APA:**
185
 
186
- [More Information Needed]
187
-
188
- ## Glossary [optional]
189
-
190
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
191
 
192
- [More Information Needed]
193
 
194
- ## More Information [optional]
195
 
196
- [More Information Needed]
197
 
198
- ## Model Card Authors [optional]
199
 
200
- [More Information Needed]
201
 
202
- ## Model Card Contact
203
 
204
- [More Information Needed]
205
  ### Framework versions
206
 
207
- - PEFT 0.18.0
 
6
  - base_model:adapter:codellama/CodeLlama-7b-Instruct-hf
7
  - lora
8
  - transformers
9
+ - luau
10
+ - roblox
11
+ license: apache-2.0
12
+ language:
13
+ - en
14
  ---
15
 
16
+ # Model Card for CodeLlama-7B-Instruct-Luau
17
 
18
+ Fine-tuned version of `codellama/CodeLlama-7b-Instruct-hf` targeted toward the **Luau** programming language, Roblox’s Lua-derived scripting language.
19
 
20
+ This model is distributed as a **LoRA adapter** and is intended to improve the base model’s performance on Roblox-specific scripting tasks.
21
 
22
+ ---
23
 
24
  ## Model Details
25
 
26
  ### Model Description
27
 
28
+ This model is a parameter-efficient fine-tuning (LoRA) of CodeLlama 7B Instruct, specialized for generating, explaining, and refactoring **Luau** code.
 
29
 
30
+ The fine-tuning focuses on Roblox development patterns, including common services, APIs, gameplay scripting idioms, and client/server logic. The model is designed to assist developers during prototyping, learning, and general scripting workflows.
31
 
32
+ - **Developed by:** darwinkernelpanic
33
+ - **Funded by:** Not applicable
34
+ - **Shared by:** darwinkernelpanic
35
+ - **Model type:** Causal Language Model (decoder-only, LoRA adapter)
36
+ - **Language(s) (NLP):** English
37
+ - **License:** Apache-2.0
38
+ - **Finetuned from model:** codellama/CodeLlama-7b-Instruct-hf
39
 
40
+ ### Model Sources
41
 
42
+ - **Repository:** https://huggingface.co/darwinkernelpanic/CodeLlama-7b-Instruct-hf-luau
43
+ - **Paper:** *Code Llama: Large Language Models for Code* (Meta AI)
44
+ - **Demo:** Not available
45
 
46
+ ---
 
 
47
 
48
  ## Uses
49
 
 
 
50
  ### Direct Use
51
 
52
+ This model can be used directly for:
53
+
54
+ - Writing Luau scripts for Roblox
55
+ - Explaining Roblox APIs and services
56
+ - Refactoring or debugging Luau code
57
+ - Prototyping gameplay systems and utilities
58
+ - Learning Luau and Roblox scripting concepts
59
 
60
+ The model is intended as a **developer assistant**, not an autonomous system.
61
 
62
+ ### Downstream Use
63
 
64
+ Potential downstream uses include:
65
 
66
+ - Further fine-tuning on proprietary Roblox frameworks
67
+ - Integration into IDEs or editor tooling
68
+ - Chat-based assistants for Roblox development
69
+ - Educational or documentation tooling
70
 
71
  ### Out-of-Scope Use
72
 
73
+ This model should **not** be used for:
74
 
75
+ - Safety-critical or production-critical systems
76
+ - Legal, medical, or financial advice
77
+ - Malware, exploit, or cheat development
78
+ - Fully automated code deployment without review
79
 
80
+ ---
81
 
82
+ ## Bias, Risks, and Limitations
83
 
84
+ - Inherits biases and limitations from the base CodeLlama model
85
+ - May hallucinate Roblox APIs or outdated behaviors
86
+ - Does not validate code at runtime
87
+ - Output correctness depends on prompt quality
88
 
89
  ### Recommendations
90
 
91
+ Users should:
92
+
93
+ - Review all generated code manually
94
+ - Test scripts in Roblox Studio
95
+ - Cross-check with official Roblox documentation
96
+ - Treat outputs as suggestions rather than authoritative solutions
97
 
98
+ ---
99
 
100
  ## How to Get Started with the Model
101
 
102
+ ```python
103
+ from transformers import AutoTokenizer, AutoModelForCausalLM
104
+ from peft import PeftModel
105
+
106
+ base_model = "codellama/CodeLlama-7b-Instruct-hf"
107
+ adapter_model = "darwinkernelpanic/CodeLlama-7b-Instruct-hf-luau"
108
+
109
+ tokenizer = AutoTokenizer.from_pretrained(base_model)
110
+ model = AutoModelForCausalLM.from_pretrained(base_model)
111
+ model = PeftModel.from_pretrained(model, adapter_model)
112
+
113
+ prompt = "Write a Luau function that creates a Part and parents it to Workspace."
114
+ inputs = tokenizer(prompt, return_tensors="pt")
115
+
116
+ outputs = model.generate(
117
+ **inputs,
118
+ max_new_tokens=300,
119
+ temperature=0.7,
120
+ do_sample=True
121
+ )
122
 
123
+ print(tokenizer.decode(outputs[0], skip_special_tokens=True))
124
+ ````
125
+
126
+ ---
127
 
128
  ## Training Details
129
 
130
  ### Training Data
131
 
132
+ The model was fine-tuned on a curated mixture of:
133
 
134
+ * Luau scripts
135
+ * Roblox API usage examples
136
+ * Open-source Roblox projects
137
+ * Synthetic instruction-style prompts
138
 
139
+ All data was filtered to avoid private, proprietary, or sensitive content.
140
 
141
+ ### Training Procedure
142
 
143
+ The model was trained using parameter-efficient fine-tuning with LoRA while keeping the base model weights frozen.
144
 
145
+ #### Preprocessing
146
 
147
+ * Code formatting normalization
148
+ * Instruction-style prompt structuring
149
+ * Removal of low-quality or irrelevant samples
150
 
151
  #### Training Hyperparameters
152
 
153
+ * **Training regime:** fp16 mixed precision
154
 
155
+ #### Speeds, Sizes, Times
156
 
157
+ * **Base model size:** ~7B parameters
158
+ * **Trainable parameters:** <1% (LoRA adapters only)
159
+ * **Adapter checkpoint size:** ~100–200 MB
160
 
161
+ ---
162
 
163
  ## Evaluation
164
 
 
 
165
  ### Testing Data, Factors & Metrics
166
 
167
  #### Testing Data
168
 
169
+ * Hand-written Luau prompts
170
+ * Roblox-specific scripting scenarios
 
171
 
172
  #### Factors
173
 
174
+ * Luau syntax correctness
175
+ * Roblox API familiarity
176
+ * Instruction-following behavior
177
 
178
  #### Metrics
179
 
180
+ * Qualitative human evaluation
181
+ * Manual code review and comparison with base model
 
182
 
183
  ### Results
184
 
185
+ The LoRA adapter demonstrates improved performance over the base model in:
186
+
187
+ * Generating idiomatic Luau
188
+ * Correct Roblox service usage
189
+ * Following game-development-oriented instructions
190
 
191
  #### Summary
192
 
193
+ The model performs best when used as a Roblox development assistant and is not intended for general-purpose natural language tasks.
194
 
195
+ ---
196
 
197
+ ## Model Examination
198
 
199
+ No formal interpretability or probing analysis was conducted.
200
 
201
+ ---
202
 
203
  ## Environmental Impact
204
 
205
+ Carbon emissions were not formally measured.
206
 
207
+ * **Hardware Type:** Consumer-grade GPU
208
+ * **Hours used:** < 24 hours
209
+ * **Cloud Provider:** None (local training)
210
+ * **Compute Region:** Not applicable
211
+ * **Carbon Emitted:** Not estimated
212
 
213
+ ---
 
 
 
 
214
 
215
+ ## Technical Specifications
216
 
217
  ### Model Architecture and Objective
218
 
219
+ * Decoder-only Transformer
220
+ * Next-token prediction objective
221
+ * LoRA adapters applied to attention layers
222
 
223
  ### Compute Infrastructure
224
 
 
 
225
  #### Hardware
226
 
227
+ * Single consumer-grade GPU
228
 
229
  #### Software
230
 
231
+ * PyTorch
232
+ * Transformers
233
+ * PEFT
234
 
235
+ ---
236
 
237
+ ## Citation
238
 
239
  **BibTeX:**
240
 
241
+ ```bibtex
242
+ @misc{darwinkernelpanic2025luau,
243
+ title={CodeLlama 7B Instruct Luau LoRA},
244
+ author={darwinkernelpanic},
245
+ year={2025},
246
+ howpublished={Hugging Face},
247
+ note={LoRA fine-tuned for Luau / Roblox scripting}
248
+ }
249
+ ```
250
 
251
  **APA:**
252
 
253
+ darwinkernelpanic. (2025). *CodeLlama 7B Instruct Luau LoRA*. Hugging Face.
 
 
 
 
254
 
255
+ ---
256
 
257
+ ## Model Card Authors
258
 
259
+ darwinkernelpanic
260
 
261
+ ## Model Card Contact
262
 
263
+ Use the Hugging Face repository issues or the author’s profile.
264
 
265
+ ---
266
 
 
267
  ### Framework versions
268
 
269
+ * PEFT 0.18.0