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1name: Llama3.2-ColdBrew-4x3B-Argon-test0
2base_model: SvalTek/Llama3.2-ColdBrew-3B-OverThinker
3gate_mode: hidden
4experts:
5 # -- TOOLS & PROGRAMMING EXPERT --
6 - source_model: SvalTek/Llama3.2-ColdBrew-3B-Bronze-test0 # Tools/Programming
7 positive_prompts:
8 - "Write a function"
9 - "Implement in"
10 - "How do I code"
11 - "How to write a"
12 - "Python code"
13 - "JavaScript code"
14 - "Java code"
15 - "Show me code"
16 - "Show me how to"
17 - "Here's an error"
18 - "Fix this error"
19 - "What does this error mean"
20 - "How do I use"
21 - "What is wrong with my code"
22 - "Return only the code"
23 - "Debug this"
24 - "Can you debug"
25 - "Tool call:"
26 - "Script to automate"
27 - "How can I automate"
28 - "Command line example"
29 - "Bash script"
30 - "Shell script"
31 - "Regex for"
32 - "Write a regex"
33 - "SQL query"
34 - "Database schema"
35 - "API example"
36 - "API usage"
37 - "Unit test for"
38 - "Test case for"
39 - "Write pseudocode"
40 - "Config file"
41 - "JSON format"
42 - "YAML config"
43 - "<tools>"
44 - "<tool_response>"
45 negative_prompts:
46 - "Write a story"
47 - "Tell me a story"
48 - "Scene:"
49 - "As a character"
50 - "Dialogue between"
51 - "Summarize this in plain English"
52 - "Roleplay"
53 - "Describe a character"
54 - "Backstory for"
55 - "Oracle"
56 - "Poem"
57 - "Song lyrics"
58 - "<think>"
59 - "Explain your reasoning"
60 - "Chain-of-thought"
61 - "Step by step reasoning"
62 - "What would you do if"
63 - "In a fantasy world"
64 - "Continue the story"
65 - "First-person perspective"
66
67 # -- WRITER / ROLEPLAYER EXPERT --
68 - source_model: SvalTek/Llama3.2-ColdBrew-3B-Sage-test0 # Writer/Roleplayer
69 positive_prompts:
70 - "Write a story about"
71 - "Tell a story about"
72 - "Scene:"
73 - "Describe the setting"
74 - "Roleplay as"
75 - "Pretend you are"
76 - "In character,"
77 - "Write a dialogue between"
78 - "Dialogue between"
79 - "Write a poem"
80 - "Poem about"
81 - "Write a monologue"
82 - "First-person perspective"
83 - "Narrate"
84 - "Backstory for"
85 - "Worldbuilding"
86 - "Describe a character"
87 - "Describe a magical place"
88 - "Continue this story"
89 - "Flash fiction"
90 - "Epic poem"
91 - "Science fiction story"
92 - "Fantasy story"
93 - "Horror story"
94 - "Historical fiction"
95 - "Letter from"
96 - "Write a prophecy"
97 - "Villain monologue"
98 - "Supernatural"
99 - "Short story"
100 - "Invent a character"
101 - "Make up a legend"
102 negative_prompts:
103 - "Show code"
104 - "Write code"
105 - "Debug"
106 - "Python function"
107 - "Implement"
108 - "How to write a function"
109 - "Explain step by step"
110 - "Fact check"
111 - "Math question"
112 - "Solve for x"
113 - "Tool call"
114 - "Explain your reasoning"
115 - "Chain-of-thought"
116 - "<think>"
117 - "<tools>"
118 - "<tool_response>"
119 - "Summarize this in plain English"
120 - "Step by step reasoning"
121 - "What would you do if"
122 - "Continue the story"
123 - "First-person perspective"
124 - "Summarize the history"
125 - "What is the difference between"
126 - "List the"
127 - "Give me a definition"
128 - "How do I use"
129 - "What is wrong with my code"
130
131 # -- ORACLE: GENERAL KNOWLEDGE / Q&A --
132 - source_model: SvalTek/Llama3.2-ColdBrew-3B-Oracle-test0 # General Q&A / Factual
133 positive_prompts:
134 - "What is"
135 - "Who is"
136 - "When did"
137 - "Where is"
138 - "List the"
139 - "Explain the difference between"
140 - "Summarize"
141 - "Fact check"
142 - "History of"
143 - "How does"
144 - "Why do"
145 - "Why does"
146 - "What causes"
147 - "What are the main causes"
148 - "Tell me about"
149 - "Trivia question"
150 - "Riddle:"
151 - "Give a concise explanation of"
152 - "Advice on"
153 - "What would happen if"
154 - "Definition of"
155 - "Give me a list"
156 - "Biggest"
157 - "Smallest"
158 - "Most important"
159 - "Give examples"
160 - "Symptoms of"
161 - "Signs of"
162 - "Tips for"
163 - "Explain simply"
164 - "In simple terms"
165 - "For beginners"
166 - "Layman's terms"
167 negative_prompts:
168 - "Roleplay"
169 - "Scene:"
170 - "Write a story"
171 - "Tell me a story"
172 - "Continue the story"
173 - "Write code"
174 - "Show me code"
175 - "Tool call"
176 - "<think>"
177 - "<tools>"
178 - "<tool_response>"
179 - "Explain your reasoning"
180 - "Chain-of-thought"
181 - "Step by step explanation"
182 - "Write a function"
183 - "Narrate"
184 - "Dialogue between"
185 - "Write a poem"
186 - "Make up a legend"
187 - "Describe a magical place"
188 - "Pretend you are"
189
190 # -- OVERTHINKER: REASONING, INTROSPECTION, EXPLANATION --
191 - source_model: SvalTek/Llama3.2-ColdBrew-3B-OverThinker # Reasoning/Introspection/Base
192 positive_prompts:
193 - "<think>"
194 - "Explain your reasoning"
195 - "Step by step"
196 - "Walk me through"
197 - "Chain-of-thought"
198 - "Let's think step by step"
199 - "Reflect on"
200 - "Consider the following"
201 - "Why do you think"
202 - "List pros and cons"
203 - "Debate"
204 - "Analyze"
205 - "Reason through"
206 - "What if"
207 - "Evaluate"
208 - "Uncertainty"
209 - "Explore possible causes"
210 - "Examine alternatives"
211 - "Break down the logic"
212 - "What are the possible explanations"
213 - "Discuss the logic"
214 - "Compare and contrast"
215 - "Challenge this idea"
216 - "Assess the argument"
217 - "Explore doubts"
218 - "Lay out your logic"
219 negative_prompts:
220 - "Roleplay as"
221 - "Pretend you are"
222 - "Scene:"
223 - "Write a story"
224 - "Tell me a story"
225 - "Continue this story"
226 - "Dialogue"
227 - "Write code"
228 - "Show code"
229 - "Write a function"
230 - "Fact check"
231 - "Give a concise answer"
232 - "Summarize this in plain English"
233 - "Give me a list"
234 - "Short answer only"
235 - "Write a poem"
236 - "Describe a magical place"
237 - "Tool call"
238 - "<think>"
239 - "<tools>"
240 - "<tool_response>"
241 - "Summarize the history"
242 - "What is the difference between"
243
244dtype: bfloat16
245normalize: true
246int8_mask: true1!pip install -qU transformers bitsandbytes accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "SvalTek/Llama3.2-ColdBrew-4x3B-Argon-test0"
8
9tokenizer = AutoTokenizer.from_pretrained(model)
10pipeline = transformers.pipeline(
11 "text-generation",
12 model=model,
13 model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
14)
15
16messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
17prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
18outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
19print(outputs[0]["generated_text"])