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feat(model): Support Qwen2.5 coder models (#2139)
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@ -183,7 +183,20 @@ LLM_MODEL_CONFIG = {
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"qwen2.5-coder-1.5b-instruct": os.path.join(
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MODEL_PATH, "Qwen2.5-Coder-1.5B-Instruct"
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),
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"qwen2.5-coder-32b-instruct": os.path.join(
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MODEL_PATH, "Qwen2.5-Coder-32B-Instruct"
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),
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"qwen2.5-coder-14b-instruct": os.path.join(
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MODEL_PATH, "Qwen2.5-Coder-14B-Instruct"
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),
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"qwen2.5-coder-3b-instruct": os.path.join(MODEL_PATH, "Qwen2.5-Coder-3B-Instruct"),
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"qwen2.5-coder-7b-instruct": os.path.join(MODEL_PATH, "Qwen2.5-Coder-7B-Instruct"),
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"qwen2.5-coder-1.5b-instruct": os.path.join(
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MODEL_PATH, "Qwen2.5-Coder-1.5B-Instruct"
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),
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"qwen2.5-coder-0.5b-instruct": os.path.join(
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MODEL_PATH, "Qwen2.5-Coder-0.5B-Instruct"
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),
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# (Llama2 based) We only support WizardLM-13B-V1.2 for now, which is trained from Llama-2 13b, see https://huggingface.co/WizardLM/WizardLM-13B-V1.2
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"wizardlm-13b": os.path.join(MODEL_PATH, "WizardLM-13B-V1.2"),
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# wget https://huggingface.co/TheBloke/vicuna-13B-v1.5-GGUF/resolve/main/vicuna-13b-v1.5.Q4_K_M.gguf -O models/ggml-model-q4_0.gguf
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