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Browse files- README.md +27 -0
- added_tokens.json +5 -0
- config.json +85 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00001-of-00007.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00002-of-00007.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00003-of-00007.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model-00004-of-00007.safetensors +3 -0
- model-00005-of-00007.safetensors +3 -0
- model-00006-of-00007.safetensors +3 -0
- model-00007-of-00007.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +40 -0
- vocab.json +0 -0
README.md
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---
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language:
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- en
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license: other
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tags:
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- pretrained
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- mlx
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license_name: tongyi-qianwen-research
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license_link: https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE
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pipeline_tag: text-generation
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---
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# mlx-community/Qwen1.5-32B-8bit
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This model was converted to MLX format from [`Qwen/Qwen1.5-32B`]().
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Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.5-32B) for more details on the model.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/Qwen1.5-32B-8bit")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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config.json
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{
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"add_cross_attention": false,
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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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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"bos_token_id": 151643,
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"chunk_size_feed_forward": 0,
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"cross_attention_hidden_size": null,
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"decoder_start_token_id": null,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": false,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 151643,
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"exponential_decay_length_penalty": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 27392,
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 32768,
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"max_window_layers": 35,
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"min_length": 0,
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"model_type": "qwen2",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 40,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_hidden_layers": 64,
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"num_key_value_heads": 8,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": null,
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"prefix": null,
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"problem_type": null,
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"pruned_heads": {},
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"quantization": {
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"group_size": 64,
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"bits": 8
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},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sep_token_id": null,
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"sliding_window": 32768,
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": false,
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"tokenizer_class": null,
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"top_k": 50,
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"top_p": 1.0,
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"torch_dtype": "bfloat16",
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"torchscript": false,
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"transformers_version": "4.38.0",
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"typical_p": 1.0,
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"use_bfloat16": false,
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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merges.txt
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model-00001-of-00004.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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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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"151644": {
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"content": "<|im_start|>",
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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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"151645": {
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"content": "<|im_end|>",
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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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"additional_special_tokens": [],
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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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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 32768,
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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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vocab.json
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