Spaces:
Running
on
A10G
Running
on
A10G
Remove references to convert.py
Browse files
app.py
CHANGED
@@ -15,19 +15,8 @@ from apscheduler.schedulers.background import BackgroundScheduler
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from textwrap import dedent
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LLAMA_LIKE_ARCHS = ["MistralForCausalLM",]
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HF_TOKEN = os.environ.get("HF_TOKEN")
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def script_to_use(model_id, api):
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info = api.model_info(model_id)
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if info.config is None:
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return None
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arch = info.config.get("architectures", None)
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if arch is None:
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return None
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arch = arch[0]
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return "convert.py" if arch in LLAMA_LIKE_ARCHS else "convert-hf-to-gguf.py"
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def split_upload_model(model_path, repo_id, oauth_token: gr.OAuthToken | None, split_max_tensors=256, split_max_size=None):
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if oauth_token.token is None:
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raise ValueError("You have to be logged in.")
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@@ -98,7 +87,7 @@ def process_model(model_id, q_method, private_repo, split_model, split_max_tenso
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print(f"Current working directory: {os.getcwd()}")
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print(f"Model directory contents: {os.listdir(model_name)}")
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conversion_script =
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fp16_conversion = f"python llama.cpp/{conversion_script} {model_name} --outtype f16 --outfile {fp16}"
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result = subprocess.run(fp16_conversion, shell=True, capture_output=True)
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print(result)
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from textwrap import dedent
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HF_TOKEN = os.environ.get("HF_TOKEN")
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def split_upload_model(model_path, repo_id, oauth_token: gr.OAuthToken | None, split_max_tensors=256, split_max_size=None):
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if oauth_token.token is None:
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raise ValueError("You have to be logged in.")
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print(f"Current working directory: {os.getcwd()}")
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print(f"Model directory contents: {os.listdir(model_name)}")
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conversion_script = "convert-hf-to-gguf.py"
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fp16_conversion = f"python llama.cpp/{conversion_script} {model_name} --outtype f16 --outfile {fp16}"
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result = subprocess.run(fp16_conversion, shell=True, capture_output=True)
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print(result)
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