Upload folder using huggingface_hub
Browse files- README.md +36 -0
- added_tokens.json +6 -0
- config.json +84 -0
- model.safetensors +3 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +80 -0
README.md
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---
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language:
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- vi
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license: afl-3.0
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library_name: transformers
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tags:
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- LLMs
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- NLP
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- Vietnamese
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- Large Language Models
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- mlx
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extra_gated_prompt: You agree not to use the model for experiments that could harm
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human subjects.
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extra_gated_fields:
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Name: text
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Email: text
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Affiliation: text
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Country: text
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I agree to the LICENSE of this model: checkbox
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---
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# Viet-Mistral/Vistral-7B-Chat-mlx-4bit
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This model was converted to MLX format from [`Viet-Mistral/Vistral-7B-Chat`]().
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Refer to the [original model card](https://huggingface.co/Viet-Mistral/Vistral-7B-Chat) 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("Viet-Mistral/Vistral-7B-Chat-mlx-4bit")
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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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"<</SYS>>": 38366,
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"<<SYS>>": 38365,
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"[/INST]": 38368,
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"[INST]": 38367
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}
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config.json
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{
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"vocab_size": 38369,
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"max_position_embeddings": 32768,
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"hidden_size": 4096,
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"intermediate_size": 14336,
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"num_hidden_layers": 32,
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"num_attention_heads": 32,
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"sliding_window": 4096,
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"num_key_value_heads": 8,
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"rms_norm_eps": 1e-05,
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"use_cache": true,
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"rope_theta": 10000.0,
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"attention_dropout": 0.0,
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"return_dict": true,
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"output_hidden_states": false,
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"output_attentions": false,
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"torchscript": false,
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"torch_dtype": "bfloat16",
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"use_bfloat16": false,
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"tf_legacy_loss": false,
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"pruned_heads": {},
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"tie_word_embeddings": false,
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"chunk_size_feed_forward": 0,
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"is_encoder_decoder": false,
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"is_decoder": false,
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"cross_attention_hidden_size": null,
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"add_cross_attention": false,
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"tie_encoder_decoder": false,
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"max_length": 20,
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"min_length": 0,
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"do_sample": false,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"typical_p": 1.0,
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"repetition_penalty": 1.0,
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"length_penalty": 1.0,
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"no_repeat_ngram_size": 0,
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"encoder_no_repeat_ngram_size": 0,
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"bad_words_ids": null,
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"num_return_sequences": 1,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"architectures": [
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"MistralForCausalLM"
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],
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"finetuning_task": null,
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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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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"tokenizer_class": null,
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"prefix": null,
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"bos_token_id": 1,
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"pad_token_id": null,
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"eos_token_id": 2,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"task_specific_params": null,
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"problem_type": null,
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"_name_or_path": "/Users/qnguyen3/.cache/huggingface/hub/models--Viet-Mistral--Vistral-7B-Chat/snapshots/87de56b5cdcdf743b5c5908c868849d09e552bc5",
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"transformers_version": "4.37.2",
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"model_type": "mistral",
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"quantization": {
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"group_size": 64,
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"bits": 4
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}
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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 sha256:624b043071c36a1e6575013b5ac38a5a013c84d9521c1666e9c677def91d34f5
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size 4329206080
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": {
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"content": "<s>",
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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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},
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"eos_token": {
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"content": "</s>",
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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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},
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"pad_token": {
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"content": "<unk>",
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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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},
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"unk_token": {
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"content": "<unk>",
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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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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:e792a804bbfc19a96b61b87109b8f2b0b7c92830025f285b402ba27c0c309c6f
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size 596883
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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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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"2": {
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"content": "</s>",
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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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"38365": {
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"content": "<<SYS>>",
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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": false
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},
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"38366": {
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"content": "<</SYS>>",
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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": false
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},
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"38367": {
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"content": "[INST]",
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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": false
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},
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"38368": {
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"content": "[/INST]",
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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": false
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}
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},
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": "<s>",
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<unk>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false,
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"use_fast": true
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}
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