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Model: BertilBraun/qwen3-1.7b-voice-light-tool-use-merged Source: Original Platform
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36
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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52
README.md
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README.md
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---
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base_model: Qwen/Qwen3-1.7B
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library_name: transformers
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pipeline_tag: text-generation
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datasets:
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- BertilBraun/voice-light-tool-use-synthetic
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tags:
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- qwen3
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- voice-assistant
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- tool-use
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- lora
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- merged
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---
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# Voice Light Qwen3 1.7B Tool-Use - Merged
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This repository is the standalone BF16 inference checkpoint for the Voice Light conversational
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model. It merges the Voice Light tool-use LoRA into the original Qwen3-1.7B weights. It does not
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require PEFT or dynamic LoRA loading at inference time.
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## Sources
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- Base model: [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B/tree/70d244cc86ccca08cf5af4e1e306ecf908b1ad5e)
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at revision `70d244cc86ccca08cf5af4e1e306ecf908b1ad5e`
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- LoRA adapter: [BertilBraun/qwen3-1.7b-voice-light-tool-use-lora](https://huggingface.co/BertilBraun/qwen3-1.7b-voice-light-tool-use-lora/tree/5c88c42fe092159e960126823223c3f46056cd7d)
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at revision `5c88c42fe092159e960126823223c3f46056cd7d`
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- Training dataset:
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[BertilBraun/voice-light-tool-use-synthetic](https://huggingface.co/datasets/BertilBraun/voice-light-tool-use-synthetic)
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Refer to those repositories for the original model documentation, adapter training information,
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licenses, and intended-use constraints.
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The dataset includes the exact teacher-led v22 generator snapshot, locked environment, tests,
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teacher-server command, end-to-end reproduction launcher, immutable teacher revision, generation
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manifests, deterministic scenario seeds, and file hashes under
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[`reproducibility/source-8c32f70`](https://huggingface.co/datasets/BertilBraun/voice-light-tool-use-synthetic/tree/9af7e4178f40bf09017cb61f63deaff688b26179/reproducibility/source-8c32f70).
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## Merge
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- Method: PEFT `merge_and_unload(safe_merge=True)`
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- Merge device: CPU
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- Weight format: safetensors with a `5GB` maximum shard size
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- Weight dtype: BF16
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- Hugging Face Hub: `1.18.0`
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- Safetensors: `0.8.0`
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- Transformers: `5.14.1`
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- PEFT: `0.18.1`
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- PyTorch: `2.11.0+cu130`
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The exact machine-readable source revisions and merge settings are included in
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`merge-provenance.json`. The destination repository expected when this artifact was built is
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`BertilBraun/qwen3-1.7b-voice-light-tool-use-merged`.
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89
chat_template.jinja
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89
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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63
config.json
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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": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 6144,
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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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"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": 28,
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"model_type": "qwen3",
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": true,
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"transformers_version": "5.14.1",
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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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generation_config.json
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"temperature": 0.6,
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"top_k": 20,
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"top_p": 0.95,
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"transformers_version": "5.14.1"
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}
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merge-provenance.json
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merge-provenance.json
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{
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"schema_version": 1,
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"destination_repository_id": "BertilBraun/qwen3-1.7b-voice-light-tool-use-merged",
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"base_model": {
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"repository_id": "Qwen/Qwen3-1.7B",
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"revision": "70d244cc86ccca08cf5af4e1e306ecf908b1ad5e"
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},
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"adapter": {
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"repository_id": "BertilBraun/qwen3-1.7b-voice-light-tool-use-lora",
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"revision": "5c88c42fe092159e960126823223c3f46056cd7d"
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},
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"merge": {
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"dtype": "bfloat16",
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"device": "cpu",
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"safe_merge": true,
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"safe_serialization": true,
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"maximum_shard_size": "5GB",
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"huggingface_hub_version": "1.18.0",
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"safetensors_version": "0.8.0",
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"transformers_version": "5.14.1",
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"peft_version": "0.18.1",
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"torch_version": "2.11.0+cu130"
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}
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}
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3
model.safetensors
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3
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:94523b4ce6cd6d7c60610ea87912a7180f7349f729c9a9908693a0fd1f049322
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size 3441185608
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3
tokenizer.json
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3
tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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size 11422650
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30
tokenizer_config.json
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30
tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>",
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"<|object_ref_start|>",
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"<|object_ref_end|>",
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"<|box_start|>",
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"<|box_end|>",
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"<|quad_start|>",
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"<|quad_end|>",
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"<|vision_start|>",
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"<|vision_end|>",
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"<|vision_pad|>",
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"<|image_pad|>",
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"<|video_pad|>"
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],
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"is_local": false,
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"local_files_only": false,
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"model_max_length": 131072,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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