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Model: ScottzillaSystems/ChatGPT-5 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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library_name: transformers
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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tags:
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- conversational
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- safetensors
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- qwen2
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---
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# ChatGPT-5
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Ultra-fast AI chat model based on Qwen2.5-0.5B-Instruct architecture (494M parameters).
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## Features
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- ⚡ **Ultra-fast** — Lightweight 494M parameter model for instant responses
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- 💬 **Conversational** — Optimized for multi-turn chat
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- 🔧 **Instruction Following** — Follows instructions accurately
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## Chat UI
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Try it now: [ChatGPT-5 Chat](https://huggingface.co/spaces/ScottzillaSystems/ChatGPT-5-Chat)
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## Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("ScottzillaSystems/ChatGPT-5")
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tokenizer = AutoTokenizer.from_pretrained("ScottzillaSystems/ChatGPT-5")
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messages = [{"role": "user", "content": "Hello!"}]
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text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(text, return_tensors="pt")
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outputs = model.generate(**inputs, max_new_tokens=512)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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config.json
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151645,
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"hidden_act": "silu",
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"hidden_size": 896,
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 14,
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"num_hidden_layers": 24,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": true,
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"torch_dtype": "float16",
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"transformers_version": "4.43.3",
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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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"temperature": 0.7,
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"top_p": 0.8,
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"transformers_version": "4.43.3"
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}
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merges.txt
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merges.txt
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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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size 988097536
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tokenizer.json
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tokenizer.json
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tokenizer_config.json
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tokenizer_config.json
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"additional_special_tokens": [
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"<|im_start|>",
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"chat_template": "{% set system_message = 'You are a helpful assistant.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ '<|im_start|>system\n' + system_message + '<|im_end|>\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + content + '<|im_end|>\n<|im_start|>assistant\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>' + '\n' }}{% endif %}{% endfor %}",
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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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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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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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1
vocab.json
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vocab.json
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