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Model: saad1926q/qwen3-1.7b-15puzzle-sft-depth-8-15 Source: Original Platform
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170
README.md
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170
README.md
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---
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license: apache-2.0
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base_model: PrimeIntellect/Qwen3-1.7B
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tags:
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- qwen3
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- 15-puzzle
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- sft
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- reasoning
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- puzzle-solving
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datasets:
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- saad1926q/15-puzzle
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---
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# Qwen3 1.7B 15-Puzzle SFT
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This is a supervised fine-tuned checkpoint of `PrimeIntellect/Qwen3-1.7B` for 15-puzzle move prediction and reasoning-format alignment.
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The model was fine-tuned on solved 15-puzzle trajectories from [`saad1926q/15-puzzle`](https://huggingface.co/datasets/saad1926q/15-puzzle), using depth 8–15 puzzles.
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Each training example contains:
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- A board state
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- A solver-verified optimal move sequence
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- Short per-move rationales
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## Training Data
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**Dataset split**
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- **Dataset:** `saad1926q/15-puzzle`
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- **Config/subset:** `sft`
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- **Split:** `sft`
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- **Rows:** 600
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- **Scramble depths:** 8–15
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- **Base trajectories:** Solver-verified optimal paths
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- **Rationale source:** DeepSeek-generated rationales with tile-move convention
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### Move Convention
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Moves describe the **numbered tile** moving into the blank, **not** the blank moving.
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For example, if the board is:
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```text
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13 _ 14 15
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```
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then
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```xml
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<move>left</move>
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```
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means tile **14** moves left into the blank, producing:
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```text
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13 14 _ 15
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```
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## Intended Use
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This checkpoint is primarily intended as an SFT initialization for later RL training on the 15-puzzle.
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The goal of SFT is to teach:
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- Task format
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- The `<think>...</think>` and `<move>...</move>` response structure
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- Legal move semantics
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- Basic trajectory-following behavior
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It should **not** be treated as a fully capable 15-puzzle solver, especially on deeper scrambles.
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## Response Format
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The model is trained to respond with:
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```xml
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<think>
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short rationale
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</think>
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<move>left</move>
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```
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Allowed moves are:
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- `up`
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- `down`
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- `left`
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- `right`
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## Training
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**Base model**
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- `PrimeIntellect/Qwen3-1.7B`
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**Fine-tuning framework**
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- PrimeIntellect Prime-RL SFT
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**Training setup**
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- Full-parameter SFT
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- 600 examples
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- 40 training steps
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- 3 epochs
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- Sequence length: 3072
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- Learning rate: `1e-5`
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- Final loss: approximately **0.47**
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## Loading
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "saad1926q/qwen3-1.7b-15puzzle-sft-depth-8-15"
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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device_map="auto",
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)
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```
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## Example Prompt
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```text
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You are Player 0 in 15-puzzle.
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A 4x4 sliding puzzle board is given. The blank tile is shown as _.
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Your goal is to reach the solved board:
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1 2 3 4
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5 6 7 8
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9 10 11 12
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13 14 15 _
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At each turn, choose one legal move.
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Moves describe the numbered tile moving into the blank, not the blank moving.
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Allowed moves are:
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up, down, left, right.
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Wrap your move in <move>...</move>.
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Current board:
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1 2 3 4
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5 6 7 8
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9 10 11 _
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13 14 15 12
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```
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Expected style:
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```xml
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<think>
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Move tile 12 up into the blank to place it in its correct final position.
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</think>
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<move>up</move>
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```
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## Limitations
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- This is an SFT checkpoint, not an RL-trained solver.
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- The model may still make illegal or suboptimal moves.
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- The training set is small and focused on scramble depths 8–15.
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- The rationales are intended to teach format and move semantics, not guarantee perfect search behavior.
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130
chat_template.jinja
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chat_template.jinja
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{% macro render_extra_keys(json_dict, handled_keys) %}
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{%- if json_dict is mapping %}
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{%- for json_key in json_dict if json_key not in handled_keys %}
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{%- if json_dict[json_key] is mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string) %}
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{{- '\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson | safe) ~ '</' ~ json_key ~ '>' }}
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{%- else %}
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{{-'\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '</' ~ json_key ~ '>' }}
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{%- endif %}
|
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{%- endfor %}
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{%- endif %}
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{% endmacro %}
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|
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{%- if messages[0]["role"] == "system" %}
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{%- set system_message = messages[0]["content"] %}
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{%- set loop_messages = messages[1:] %}
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{%- else %}
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{%- set loop_messages = messages %}
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{%- endif %}
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{%- if not tools is defined %}
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{%- set tools = [] %}
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{%- endif %}
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{%- if system_message is defined %}
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{{- "<|im_start|>system\n" + system_message }}
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{%- else %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "<|im_start|>system\nYou are Qwen, a helpful AI assistant that can interact with a computer to solve tasks." }}
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{%- endif %}
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{%- endif %}
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{%- if tools is iterable and tools | length > 0 %}
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{{- "\n\n# Tools\n\nYou have access to the following functions:\n\n" }}
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{{- "<tools>" }}
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{%- for tool in tools %}
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{%- if tool.function is defined %}
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{%- set tool = tool.function %}
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{%- endif %}
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{{- "\n<function>\n<name>" ~ tool.name ~ "</name>" }}
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{%- if tool.description is defined %}
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||||
{{- '\n<description>' ~ (tool.description | trim) ~ '</description>' }}
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||||
{%- endif %}
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||||
{{- '\n<parameters>' }}
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||||
{%- if tool.parameters is defined and tool.parameters is mapping and tool.parameters.properties is defined and tool.parameters.properties is mapping %}
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||||
{%- for param_name, param_fields in tool.parameters.properties|items %}
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||||
{{- '\n<parameter>' }}
|
||||
{{- '\n<name>' ~ param_name ~ '</name>' }}
|
||||
{%- if param_fields.type is defined %}
|
||||
{{- '\n<type>' ~ (param_fields.type | string) ~ '</type>' }}
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||||
{%- endif %}
|
||||
{%- if param_fields.description is defined %}
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||||
{{- '\n<description>' ~ (param_fields.description | trim) ~ '</description>' }}
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||||
{%- endif %}
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||||
{%- set handled_keys = ['name', 'type', 'description'] %}
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||||
{{- render_extra_keys(param_fields, handled_keys) }}
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{{- '\n</parameter>' }}
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||||
{%- endfor %}
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||||
{%- endif %}
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||||
{% set handled_keys = ['type', 'properties'] %}
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||||
{{- render_extra_keys(tool.parameters, handled_keys) }}
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{{- '\n</parameters>' }}
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||||
{%- set handled_keys = ['type', 'name', 'description', 'parameters'] %}
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{{- render_extra_keys(tool, handled_keys) }}
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||||
{{- '\n</function>' }}
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||||
{%- endfor %}
|
||||
{{- "\n</tools>" }}
|
||||
{{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
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||||
{%- endif %}
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||||
{%- if system_message is defined %}
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||||
{{- '<|im_end|>\n' }}
|
||||
{%- else %}
|
||||
{%- if tools is iterable and tools | length > 0 %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endif %}
|
||||
{%- for message in loop_messages %}
|
||||
{%- if message.role == "assistant" and message.tool_calls is defined and message.tool_calls is iterable and message.tool_calls | length > 0 %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.content is defined and message.content is string and message.content | trim | length > 0 %}
|
||||
{{- '\n' + message.content | trim + '\n' }}
|
||||
{%- endif %}
|
||||
{%- for tool_call in message.tool_calls %}
|
||||
{%- if tool_call.function is defined %}
|
||||
{%- set tool_call = tool_call.function %}
|
||||
{%- endif %}
|
||||
{{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
|
||||
{%- if tool_call.arguments is defined %}
|
||||
{%- for args_name, args_value in tool_call.arguments|items %}
|
||||
{{- '<parameter=' + args_name + '>\n' }}
|
||||
{%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
|
||||
{{- args_value }}
|
||||
{{- '\n</parameter>\n' }}
|
||||
{%- endfor %}
|
||||
{%- endif %}
|
||||
{{- '</function>\n</tool_call>' }}
|
||||
{%- endfor %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif message.role == "user" or message.role == "system" or message.role == "assistant" %}
|
||||
{{- '<|im_start|>' + message.role }}
|
||||
{%- if message.role == "assistant" and message.reasoning_content is defined %}
|
||||
{%- if message.reasoning_content -%}
|
||||
{{ '\n<think>' + message.reasoning_content.strip() + '</think>' }}
|
||||
{%- else -%}
|
||||
{{ '\n<think></think>' }}
|
||||
{%- endif -%}
|
||||
{%- if message.content.strip() -%}
|
||||
{{ '\n' + message.content.strip() }}
|
||||
{%- endif -%}
|
||||
{%- else %}
|
||||
{{- '\n' + message.content }}
|
||||
{%- endif %}
|
||||
{{- '<|im_end|>' + '\n' }}
|
||||
{%- elif message.role == "tool" %}
|
||||
{%- if loop.previtem and loop.previtem.role != "tool" %}
|
||||
{{- '<|im_start|>user\n' }}
|
||||
{%- endif %}
|
||||
{{- '<tool_response>\n' }}
|
||||
{{- message.content }}
|
||||
{{- '\n</tool_response>\n' }}
|
||||
{%- if not loop.last and loop.nextitem.role != "tool" %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- elif loop.last %}
|
||||
{{- '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- else %}
|
||||
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>\n' }}
|
||||
{%- endif %}
|
||||
{%- endfor %}
|
||||
{%- if add_generation_prompt %}
|
||||
{{- '<|im_start|>assistant\n' }}
|
||||
{%- endif %}
|
||||
65
config.json
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config.json
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{
|
||||
"architectures": [
|
||||
"Qwen3ForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 151643,
|
||||
"dtype": "bfloat16",
|
||||
"eos_token_id": 151645,
|
||||
"fp8": false,
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 2048,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 6144,
|
||||
"layer_types": [
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention",
|
||||
"full_attention"
|
||||
],
|
||||
"max_position_embeddings": 40960,
|
||||
"max_window_layers": 28,
|
||||
"model_type": "qwen3",
|
||||
"num_attention_heads": 16,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pad_token_id": 151645,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"rope_parameters": {
|
||||
"rope_theta": 1000000,
|
||||
"rope_type": "default"
|
||||
},
|
||||
"sliding_window": null,
|
||||
"tie_word_embeddings": true,
|
||||
"transformers_version": "5.6.2",
|
||||
"use_cache": false,
|
||||
"use_grouped_mm": true,
|
||||
"use_sliding_window": false,
|
||||
"vocab_size": 151936
|
||||
}
|
||||
10
generation_config.json
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10
generation_config.json
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|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 151643,
|
||||
"eos_token_id": 151645,
|
||||
"output_attentions": false,
|
||||
"output_hidden_states": false,
|
||||
"pad_token_id": 151645,
|
||||
"transformers_version": "5.6.2",
|
||||
"use_cache": true
|
||||
}
|
||||
3
model.safetensors
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3
model.safetensors
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|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:25c47f7804e46200485128cdd45a7e501b34bb00099fb438dbd98bc77e596b23
|
||||
size 3441185608
|
||||
3
tokenizer.json
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3
tokenizer.json
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@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
||||
size 11422650
|
||||
30
tokenizer_config.json
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30
tokenizer_config.json
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@@ -0,0 +1,30 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"backend": "tokenizers",
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>"
|
||||
],
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|im_end|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
Reference in New Issue
Block a user