初始化项目,由ModelHub XC社区提供模型
Model: Pinkstack/Superthoughts-lite-1.8B-experimental-o1 Source: Original Platform
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README.md
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README.md
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---
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base_model: HuggingFaceTB/SmolLM2-1.7B-Instruct
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- llama
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- trl
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- sft
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- code
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- superthoughts
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- cot
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- reasoning
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-generation
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new_version: Pinkstack/Superthoughts-lite-v1
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---
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# Information
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Advanced, high-quality and lite reasoning for a tiny size that you can run locally in Q8 on your phone! 😲
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⚠️This is an experimental version: it may not always answer your question properly or correctly. currently reasoning may not always work on long conversations, as we've trained it on single turn conversations only.
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SmolLM2-1.7B-Instruct on an advanced reasoning pattern dataset (half synthetic, half written manually by us.) to create this model. Supposed to output like this:
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```
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<|im_start|>user
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What are you<|im_end|>
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<|im_start|>assistant
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<think>
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Alright, the user just asked 'What are you', meaning they want to know who I am. I think my name is Superthoughts (lite version), created by Pinkstack on January 2025. I'm ready to answer their question.
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</think>
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Welcome! I'm Superthoughts (lite) created by Pinkstack in January 2025. Ready to help you with whatever you need!<|im_end|>
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```
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# Examples:
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all responses below generated with no system prompt, 400 maximum tokens and a temperature of 0.7 (not recommended, 0.3 - 0.5 is better):
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Generated inside the android application, Pocketpal via GGUF Q8, using the model's prompt format.
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1)
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2)
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3)
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4)
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# Uploaded model
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- **Developed by:** Pinkstack
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- **License:** apache-2.0
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- **Finetuned from model :** HuggingFaceTB/SmolLM2-1.7B-Instruct
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This smollm2 model was trained with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Pinkstack__Superthoughts-lite-1.8B-experimental-o1-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=Pinkstack%2FSuperthoughts-lite-1.8B-experimental-o1&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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config.json
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config.json
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{
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"_name_or_path": "Pinkstack/Superthoughts-lite-1.7B-QwQ-o1",
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"architectures": [
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"LlamaForCausalLM"
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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": 1,
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"eos_token_id": 2,
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"head_dim": 64,
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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": 8192,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_key_value_heads": 32,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 130000,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers.js_config": {
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"kv_cache_dtype": {
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"fp16": "float16",
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"q4f16": "float16"
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}
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},
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"transformers_version": "4.48.2",
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"unsloth_version": "2025.1.7",
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"use_cache": true,
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 8192,
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"pad_token_id": 0,
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"transformers_version": "4.48.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:affac8d63a0b44d81662109c4ba0f6c023cff509dd4a46fd7d15dd7195947b6c
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size 3624104448
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version https://git-lfs.github.com/spec/v1
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oid sha256:54a6b39600e8d295002c86d3c275f976d05a3a36af6b5658186cc1081dc71b0d
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size 3624151030
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{
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"bos_token": "<|im_start|>",
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"eos_token": "<|im_end|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"content": "<|im_start|>",
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"special": true
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"rstrip": false,
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"special": true
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"content": "<issue_comment>",
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"normalized": false,
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"special": true
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"content": "<issue_closed>",
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"content": "<jupyter_start>",
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"12": {
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"content": "<jupyter_text>",
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"content": "<jupyter_code>",
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"special": true
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},
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"content": "<jupyter_output>",
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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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"special": true
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},
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"15": {
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"content": "<jupyter_script>",
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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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"special": true
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},
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"16": {
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"content": "<empty_output>",
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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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"special": true
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},
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"17": {
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"content": "<think>",
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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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"special": true
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},
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"18": {
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"content": "</think>",
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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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"special": true
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},
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"19": {
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"content": "<output>",
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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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"special": true
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},
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"20": {
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"content": "</output>",
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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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"special": true
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}
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},
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"bos_token": "<|im_start|>",
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"chat_template": "{% if 'role' in messages[0] %}{% for message in messages %}{% if message['role'] == 'user' %}{{'<|im_start|>user\n' + message['content'] + '<|im_end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|im_start|>assistant\n<think>\n' + message['content'] + '\n</think>\n<output>\n' + message['content'] + '\n</output><|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n<think>\n' }}{% endif %}{% else %}{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user\n' + message['value'] + '<|im_end|>\n'}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant\n<think>\n' + message['value'] + '\n</think>\n<output>\n' + message['value'] + '\n</output><|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['value'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n<think>\n' }}{% endif %}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"extra_special_tokens": {},
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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1
vocab.json
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Reference in New Issue
Block a user