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File size: 1,766 Bytes
a977b09 d37ecd5 8650572 d37ecd5 95ffc94 d37ecd5 afbe9c7 d37ecd5 afbe9c7 d37ecd5 a977b09 d37ecd5 a977b09 d37ecd5 b89689f d37ecd5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | from llama_cpp import Llama
def die(type):
llm = Llama(model_path="./DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf")
responses = llm(
f"""I am a {type} person
Create a diet plan to lose weight for a month i Want in the format :
Week 1:\n
- Breakfast:\n
- Lunch:\n
- Dinner:\n
Week 2:\n
- Breakfast:\n
- Lunch:\n
- Dinner:\n
Week 3:\n
- Breakfast:\n
- Lunch:\n
- Dinner:\n
Week 4:
- Breakfast:\n
- Lunch:\n
- Dinner:\n
""",
max_tokens=1000,
temperature=0.7,
top_p=0.95,
top_k=40
)
return responses['choices'][0]['text']
def di(type):
llm = Llama(model_path="./DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf")
responses = llm(
f""" I am a person
Create a diet plan to {di} for a month i Want in the format :
Week 1:\n
- Breakfast:\n
- Lunch:\n
- Dinner:\n
Week 2:\n
- Breakfast:\n
- Lunch:\n
- Dinner:\n
Week 3:\n
- Breakfast:\n
- Lunch:\n
- Dinner:\n
Week 4:
- Breakfast:\n
- Lunch:\n
- Dinner:\n
""",
max_tokens=600,
temperature=0.7,
top_p=0.95,
top_k=40
)
return responses['choices'][0]['text']
def chats(type):
llm = Llama(model_path="./metamath-13b-v10Q4_K_M.gguf")
responses = llm(
type,
max_tokens=100, # Increased token limit to ensure full plan generation
temperature=0.6, # Lower temperature for more deterministic output
top_p=0.8, # Adjusted for balance between speed and quality
top_k=50
)
return responses['choices'][0]['text'] |