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Update bt_generator.py
Browse files- bt_generator.py +10 -6
bt_generator.py
CHANGED
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@@ -4,13 +4,9 @@ from llama_cpp import Llama
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import textwrap
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import re
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import spaces
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# Download only the behavior-tree model shard
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model_path = hf_hub_download(
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repo_id="Inventors-Hub/SwarmChat-models",
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repo_type="model",
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filename="Falcon3-10B-Instruct-BehaviorTree-3epochs.Q4_K_M.gguf",
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)
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# llm = Llama(model_path=model_path, n_ctx=1024*4)
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@@ -22,10 +18,17 @@ model_path = hf_hub_download(
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# use_mmap=True, # mmap file
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# use_mlock=False,
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# )
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@spaces.GPU
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def gpu_llm():
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llm = Llama(
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model_path=model_path,
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n_ctx=1024*4, # down from 4096
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@@ -111,6 +114,7 @@ def generate_behavior_tree(task_prompt: str) -> str:
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prompt = construct_prompt(task_prompt)
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print("\n\n",prompt,"\n\n")
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output = llm(
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prompt,
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import textwrap
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import re
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import spaces
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import functools
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# Download only the behavior-tree model shard
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# llm = Llama(model_path=model_path, n_ctx=1024*4)
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# use_mmap=True, # mmap file
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# use_mlock=False,
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# )
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@spaces.GPU
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@functools.lru_cache(maxsize=1)
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def gpu_llm():
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model_path = hf_hub_download(
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repo_id="Inventors-Hub/SwarmChat-models",
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repo_type="model",
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filename="Falcon3-10B-Instruct-BehaviorTree-3epochs.Q4_K_M.gguf",
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)
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llm = Llama(
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model_path=model_path,
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n_ctx=1024*4, # down from 4096
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prompt = construct_prompt(task_prompt)
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print("\n\n",prompt,"\n\n")
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llm = gpu_llm()
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output = llm(
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prompt,
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