Qwen 2.5 Coder
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d11050ae90
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2 changed files with 34 additions and 1 deletions
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@ -2317,7 +2317,8 @@ class FastLlamaModel:
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layer.self_attn.apply_qkv = apply_lora_qkv
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n_qkv += 1
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else:
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if model_type != "qwen2":
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if model_type == "qwen2": n_qkv += 1
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else:
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logger.warning_once(
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"Not an error, but Unsloth cannot patch Attention layers with our manual autograd engine since either LoRA adapters\n"\
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"are not enabled or a bias term (like in Qwen) is used."
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@ -384,22 +384,54 @@ __INT_TO_FLOAT_MAPPER = \
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"unsloth/Qwen2.5-Math-72B-Instruct",
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"Qwen/Qwen2.5-Math-72B-Instruct",
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),
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"unsloth/Qwen2.5-Coder-0.5B-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-0.5B",
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"Qwen/Qwen2.5-Coder-0.5B",
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),
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"unsloth/Qwen2.5-Coder-1.5B-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-1.5B",
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"Qwen/Qwen2.5-Coder-1.5B",
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),
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"unsloth/Qwen2.5-Coder-3B-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-3B",
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"Qwen/Qwen2.5-Coder-3B",
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),
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"unsloth/Qwen2.5-Coder-7B-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-7B",
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"Qwen/Qwen2.5-Coder-7B",
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),
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"unsloth/Qwen2.5-Coder-14B-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-14B",
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"Qwen/Qwen2.5-Coder-14B",
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),
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"unsloth/Qwen2.5-Coder-32B-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-32B",
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"Qwen/Qwen2.5-Coder-32B",
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),
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"unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-Instruct-0.5B",
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"Qwen/Qwen2.5-Coder-Instruct-0.5B",
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),
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"unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-Instruct-1.5B",
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"Qwen/Qwen2.5-Coder-Instruct-1.5B",
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),
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"unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-3B-Instruct",
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"Qwen/Qwen2.5-Coder-3B-Instruct",
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),
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"unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-7B-Instruct",
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"Qwen/Qwen2.5-Coder-7B-Instruct",
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),
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"unsloth/Qwen2.5-Coder-14B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-14B-Instruct",
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"Qwen/Qwen2.5-Coder-14B-Instruct",
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),
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"unsloth/Qwen2.5-Coder-32B-Instruct-bnb-4bit" : (
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"unsloth/Qwen2.5-Coder-32B-Instruct",
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"Qwen/Qwen2.5-Coder-32B-Instruct",
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),
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"unsloth/Llama-3.2-1B-bnb-4bit" : (
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"unsloth/Llama-3.2-1B",
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"meta-llama/Llama-3.2-1B",
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