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Model: PrimeIntellect/qwen3-moe-tiny 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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tags:
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- prime-rl
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- moe
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- test-model
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library_name: transformers
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---
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<div align="center">
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<img src="https://cdn-avatars.huggingface.co/v1/production/uploads/61e020e4a343274bb132e138/H2mcdPRWtl4iKLd-OYYBc.jpeg" width="200"/>
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</div>
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# qwen3-moe-tiny
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A small (~670M parameter) Qwen3 MoE model for testing only. It is generally compatible with vLLM and HuggingFace Transformers but is meant to be used with [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl).
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Fine-tuned on [PrimeIntellect/Reverse-Text-SFT](https://huggingface.co/datasets/PrimeIntellect/Reverse-Text-SFT) to provide a non-trivial distribution for KL divergence during RL.
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## Quick Start
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```bash
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uv run rl @ configs/ci/integration/rl_moe/qwen3_moe.toml
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```
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See the [Testing MoE at Small Scale](https://github.com/PrimeIntellect-ai/prime-rl/blob/main/docs/testing-moe-at-small-scale.md) guide for full instructions.
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## Model Details
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| Parameter | Value |
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|-----------|-------|
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| Hidden size | 1024 |
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| Layers | 24 |
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| Experts | 16 |
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| Active experts | 4 |
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| Parameters | ~670M |
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## Links
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- [prime-rl](https://github.com/PrimeIntellect-ai/prime-rl) - RL training framework
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- [PrimeIntellect](https://www.primeintellect.ai/) - Building infrastructure for decentralized AI
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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'] }}
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{%- else %}
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{{- 'You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# 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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{%- else %}
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{{- '<|im_start|>system\nYou are a helpful assistant.<|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.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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{{- '\n' + message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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{%- if tool_call.function is defined %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if (loop.index0 == 0) 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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{{- message.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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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3MoeForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"decoder_sparse_step": 1,
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"dtype": "float32",
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"head_dim": 64,
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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": 2048,
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"load_balance_coeff": null,
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"max_position_embeddings": 32768,
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"mlp_only_layers": [
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0
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],
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"model_type": "qwen3_moe",
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"moe_intermediate_size": 256,
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"norm_topk_prob": true,
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"num_attention_heads": 16,
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"num_experts": 16,
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"num_experts_per_tok": 4,
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"num_hidden_layers": 24,
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"num_key_value_heads": 4,
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"output_router_logits": false,
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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": 1000000.0,
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"rope_type": "default"
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},
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.2.0.dev0",
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"use_cache": false,
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"use_grouped_mm": false,
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"use_qk_norm": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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configuration.json
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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generation_config.json
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{
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"_from_model_config": true,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.2.0.dev0",
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"use_cache": true
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}
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model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:dbcfff171128b810ec812faea4a1bf9a11bf275cd97ce23b1da15f547febd786
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size 1340576024
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tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
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size 11421892
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tokenizer_config.json
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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": "<|endoftext|>",
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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": true,
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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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