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README.md ADDED
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+ ---
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+ base_model: Qwen/Qwen2-0.5B-Instruct
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+ ---
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+
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+ [MLC](https://llm.mlc.ai/) version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct), using `q4f16_1` quantization.
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merges.txt ADDED
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+ {
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+ "version": "0.1.0",
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+ "model_type": "qwen2",
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+ "quantization": "q4f16_1",
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+ "model_config": {
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+ "hidden_act": "silu",
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+ "hidden_size": 896,
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+ "intermediate_size": 4864,
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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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+ "vocab_size": 151936,
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+ "tie_word_embeddings": true,
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+ "context_window_size": 32768,
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+ "prefill_chunk_size": 2048,
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+ "tensor_parallel_shards": 1,
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+ "head_dim": 64,
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+ "dtype": "float32",
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+ "max_batch_size": 80
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+ },
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+ "vocab_size": 151936,
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+ "context_window_size": 32768,
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+ "sliding_window_size": -1,
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+ "prefill_chunk_size": 2048,
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+ "attention_sink_size": -1,
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+ "tensor_parallel_shards": 1,
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+ "pipeline_parallel_stages": 1,
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+ "temperature": 0.7,
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+ "presence_penalty": 0.0,
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+ "frequency_penalty": 0.0,
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+ "repetition_penalty": 1.1,
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+ "top_p": 0.8,
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+ "tokenizer_files": [
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+ "tokenizer.json",
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+ "vocab.json",
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+ "merges.txt",
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+ "tokenizer_config.json"
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+ ],
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+ "tokenizer_info": {
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+ "token_postproc_method": "byte_level",
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+ "prepend_space_in_encode": false,
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+ "strip_space_in_decode": false
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+ },
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+ "conv_template": {
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+ "name": "chatml",
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+ "system_template": "<|im_start|>system\n{system_message}<|im_end|>\n",
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+ "system_message": "A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.",
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+ "system_prefix_token_ids": null,
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+ "add_role_after_system_message": true,
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+ "roles": {
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+ "user": "<|im_start|>user",
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+ "assistant": "<|im_start|>assistant"
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+ },
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+ "role_templates": {
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+ "user": "{user_message}",
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+ "assistant": "{assistant_message}",
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+ "tool": "{tool_message}"
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+ },
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+ "messages": [],
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+ "seps": [
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+ "<|im_end|>\n"
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+ ],
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+ "role_content_sep": "\n",
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+ }
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+ "additional_special_tokens": ["<|im_start|>", "<|im_end|>"],
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+ "bos_token": null,
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+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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