初始化项目，由ModelHub XC社区提供模型
Model: tabularisai/Qwen3-0.3B-distil Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model:
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- Qwen/Qwen3-0.6B
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tags:
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- distillation
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language:
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- en
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pipeline_tag: text-generation
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---
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***Work in progress***
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---
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model_id = "tabularisai/Qwen3-0.3B-distil"
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device = "cuda" if torch.cuda.is_available() else "cpu"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "What is a capital of France?"}
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]
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inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
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outputs = model.generate(inputs, max_new_tokens=100, temperature=0.5, repetition_penalty=1.2)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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tabularis.ai
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28
added_tokens.json
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added_tokens.json
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89
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if message.content is string %}
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{%- set content = message.content %}
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{%- else %}
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{%- set content = '' %}
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{%- endif %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is string %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in content %}
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{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- set content = content.split('</think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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46
config.json
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46
config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "bfloat16",
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"eos_token_id": 151645,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_types": [
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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],
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"max_position_embeddings": 40960,
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"max_window_layers": 14,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 14,
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"num_key_value_heads": 8,
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"rope_theta": 1000000,
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"tie_word_embeddings": true,
|
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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1
configuration.json
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1
configuration.json
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{"framework": "pytorch", "task": "others", "allow_remote": true}
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6
generation_config.json
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generation_config.json
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BIN
merges.txt
(Stored with Git LFS)
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BIN
merges.txt
(Stored with Git LFS)
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3
model.safetensors
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31
special_tokens_map.json
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31
special_tokens_map.json
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|
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}
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3
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3
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tokenizer_config.json
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240
tokenizer_config.json
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|
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|
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
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|
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|
||||
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|
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|
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|
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|
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|
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|
||||
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|
||||
BIN
vocab.json
(Stored with Git LFS)
Normal file
BIN
vocab.json
(Stored with Git LFS)
Normal file
Binary file not shown.
27
vocagno_config.json
Normal file
27
vocagno_config.json
Normal file
@@ -0,0 +1,27 @@
|
||||
{
|
||||
"train_file": "data/processed/dolly_train.jsonl,data/processed/gsm8k_train.jsonl,data/processed/dolphin_train.jsonl,data/processed/openhermes_train.jsonl,data/processed/slimorca_train.jsonl,data/processed/metamath_train.jsonl,data/processed/oasst_train.jsonl",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"learning_rate": 2e-05,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"kd_weight": 1.0,
|
||||
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|
||||
"full_sequence_mode": true,
|
||||
"bf16": true,
|
||||
"logging_steps": 25,
|
||||
"save_steps": 500,
|
||||
"seed": 42
|
||||
}
|
||||
Reference in New Issue
Block a user