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Upload merged Qwen3-4B-Instruct-2507 model (auto-generated README)

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README.md CHANGED
@@ -1,5 +1,5 @@
1
  ---
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- base_model: Qwen/Qwen3-4B-Instruct-2507
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  datasets:
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  - u-10bei/sft_alfworld_trajectory_dataset_v5
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  language:
@@ -18,7 +18,7 @@ tags:
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  # rokugatsu_qwen3-4b-agent-trajectory-lora
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  This repository provides a **LoRA adapter** fine-tuned from
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- **Qwen/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
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  This repository contains **LoRA adapter weights only**.
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  The base model must be loaded separately.
@@ -34,7 +34,7 @@ tool use, and recovery from errors.
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  ## Training Configuration
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- - Base model: Qwen/Qwen3-4B-Instruct-2507
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  - Method: LoRA (full precision base)
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  - Max sequence length: 2048
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  - Epochs: 2
@@ -48,7 +48,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  from peft import PeftModel
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  import torch
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- base = "Qwen/Qwen3-4B-Instruct-2507"
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  adapter = "your_id/your-repo"
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  tokenizer = AutoTokenizer.from_pretrained(base)
 
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  ---
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+ base_model: unsloth/Qwen3-4B-Instruct-2507
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  datasets:
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  - u-10bei/sft_alfworld_trajectory_dataset_v5
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  language:
 
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  # rokugatsu_qwen3-4b-agent-trajectory-lora
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  This repository provides a **LoRA adapter** fine-tuned from
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+ **unsloth/Qwen3-4B-Instruct-2507** using **LoRA + Unsloth**.
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  This repository contains **LoRA adapter weights only**.
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  The base model must be loaded separately.
 
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  ## Training Configuration
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+ - Base model: unsloth/Qwen3-4B-Instruct-2507
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  - Method: LoRA (full precision base)
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  - Max sequence length: 2048
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  - Epochs: 2
 
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  from peft import PeftModel
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  import torch
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+ base = "unsloth/Qwen3-4B-Instruct-2507"
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  adapter = "your_id/your-repo"
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  tokenizer = AutoTokenizer.from_pretrained(base)
chat_template.jinja CHANGED
@@ -14,6 +14,14 @@
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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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  {%- for message in messages %}
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  {%- if message.content is string %}
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  {%- set content = message.content %}
@@ -23,7 +31,24 @@
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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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- {{- '<|im_start|>' + message.role + '\n' + content }}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  {{- '<|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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  {%- 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) %}
config.json CHANGED
@@ -4,7 +4,6 @@
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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,
@@ -56,13 +55,14 @@
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  "num_attention_heads": 32,
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  "num_hidden_layers": 36,
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  "num_key_value_heads": 8,
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- "pad_token_id": 151643,
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  "rms_norm_eps": 1e-06,
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  "rope_scaling": null,
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  "rope_theta": 5000000,
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  "sliding_window": null,
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  "tie_word_embeddings": true,
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  "transformers_version": "4.56.2",
 
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  "unsloth_version": "2025.12.7",
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  "use_cache": true,
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  "use_sliding_window": false,
 
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  ],
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  "attention_bias": false,
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  "attention_dropout": 0.0,
 
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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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  "num_attention_heads": 32,
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  "num_hidden_layers": 36,
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  "num_key_value_heads": 8,
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+ "pad_token_id": 151654,
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  "rms_norm_eps": 1e-06,
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  "rope_scaling": null,
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  "rope_theta": 5000000,
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  "sliding_window": null,
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  "tie_word_embeddings": true,
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  "transformers_version": "4.56.2",
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+ "unsloth_fixed": true,
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  "unsloth_version": "2025.12.7",
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  "use_cache": true,
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  "use_sliding_window": false,
generation_config.json CHANGED
@@ -6,7 +6,7 @@
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  "max_length": 262144,
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- "pad_token_id": 151643,
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  "temperature": 0.7,
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  "top_k": 20,
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  "top_p": 0.8,
 
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  151643
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  "max_length": 262144,
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+ "pad_token_id": 151654,
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  "temperature": 0.7,
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  "top_k": 20,
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  "top_p": 0.8,
model-00001-of-00002.safetensors CHANGED
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special_tokens_map.json CHANGED
@@ -22,7 +22,7 @@
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  "single_word": false
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  },
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  "pad_token": {
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- "content": "<|endoftext|>",
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  "lstrip": false,
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  "normalized": false,
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  "rstrip": false,
 
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  "single_word": false
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  },
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  "pad_token": {
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+ "content": "<|vision_pad|>",
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  "lstrip": false,
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  "normalized": false,
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  "rstrip": false,
tokenizer_config.json CHANGED
@@ -232,7 +232,7 @@
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  "errors": "replace",
233
  "extra_special_tokens": {},
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  "model_max_length": 262144,
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- "pad_token": "<|endoftext|>",
236
  "padding_side": "right",
237
  "split_special_tokens": false,
238
  "tokenizer_class": "Qwen2Tokenizer",
 
232
  "errors": "replace",
233
  "extra_special_tokens": {},
234
  "model_max_length": 262144,
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+ "pad_token": "<|vision_pad|>",
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  "padding_side": "right",
237
  "split_special_tokens": false,
238
  "tokenizer_class": "Qwen2Tokenizer",