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Vokturz
commited on
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•
1ba133e
1
Parent(s):
ff369a5
update default model list
Browse files- src/app.py +11 -11
src/app.py
CHANGED
@@ -10,8 +10,16 @@ from huggingface_hub import login
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st.set_page_config(page_title='Can you run it? LLM version', layout="wide", initial_sidebar_state="expanded")
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model_list = [
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-
"
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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"deepseek-ai/deepseek-coder-6.7b-instruct",
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"deepseek-ai/deepseek-coder-1.3b-base",
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"microsoft/phi-2",
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@@ -20,17 +28,9 @@ model_list = [
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"codellama/CodeLlama-13b-hf",
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"codellama/CodeLlama-34b-hf",
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"Phind/Phind-CodeLlama-34B-v2",
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"WizardLM/WizardCoder-Python-34B-V1.0",
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"TheBloke/Llama-2-7B-fp16",
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"TheBloke/Llama-2-13B-fp16",
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"TheBloke/Llama-2-70B-fp16",
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"Gryphe/MythoMax-L2-13b",
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"uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b",
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"lmsys/vicuna-7b-v1.5",
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"lmsys/vicuna-13b-v1.5-16k",
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"lmsys/longchat-7b-v1.5-32k",
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"tiiuae/falcon-7B-Instruct",
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"tiiuae/falcon-7B",
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"tiiuae/falcon-40B",
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"tiiuae/falcon-40B-Instruct",
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"tiiuae/falcon-180B",
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@@ -182,8 +182,8 @@ _memory_table.columns = ['dtype', 'Variable', 'Number of GPUs']
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col1, col2 = st.columns([1,1.3])
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if gpu_vendor == "Apple":
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col.warning("""For M1/M2 Apple chips, PyTorch uses [Metal Performance Shaders (MPS)](https://huggingface.co/docs/accelerate/usage_guides/mps) as backend.\\
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Remember that Apple M1/M2 chips share memory between CPU and GPU.""", icon="⚠️")
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with col1:
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st.write(f"#### [{model_name}](https://huggingface.co/{model_name}) ({custom_ceil(memory_table.iloc[3,0],1):.1f}B)")
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st.set_page_config(page_title='Can you run it? LLM version', layout="wide", initial_sidebar_state="expanded")
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model_list = [
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+
"mistral-community/Mistral-7B-v0.2",
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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"mistral-community/Mixtral-8x22B-v0.1",
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"HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1",
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"CohereForAI/c4ai-command-r-plus",
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"CohereForAI/c4ai-command-r-v01",
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"hpcai-tech/grok-1",
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"NexaAIDev/Octopus-v2",
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"HuggingFaceH4/zephyr-7b-gemma-v0.1",
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"HuggingFaceH4/starchat2-15b-v0.1",
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"deepseek-ai/deepseek-coder-6.7b-instruct",
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"deepseek-ai/deepseek-coder-1.3b-base",
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"microsoft/phi-2",
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"codellama/CodeLlama-13b-hf",
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"codellama/CodeLlama-34b-hf",
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"Phind/Phind-CodeLlama-34B-v2",
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"TheBloke/Llama-2-7B-fp16",
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"TheBloke/Llama-2-13B-fp16",
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"TheBloke/Llama-2-70B-fp16",
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"tiiuae/falcon-40B",
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"tiiuae/falcon-40B-Instruct",
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"tiiuae/falcon-180B",
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col1, col2 = st.columns([1,1.3])
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if gpu_vendor == "Apple":
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+
col.warning("""For M1/M2/M3 Apple chips, PyTorch uses [Metal Performance Shaders (MPS)](https://huggingface.co/docs/accelerate/usage_guides/mps) as backend.\\
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Remember that Apple M1/M2/M3 chips share memory between CPU and GPU.""", icon="⚠️")
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with col1:
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st.write(f"#### [{model_name}](https://huggingface.co/{model_name}) ({custom_ceil(memory_table.iloc[3,0],1):.1f}B)")
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