Upload folder using huggingface_hub
Browse files- README.md +2 -4
- added_tokens.json +3 -0
- config.json +86 -0
- model-00001-of-00008.safetensors +3 -0
- model-00002-of-00008.safetensors +3 -0
- model-00003-of-00008.safetensors +3 -0
- model-00004-of-00008.safetensors +3 -0
- model-00005-of-00008.safetensors +3 -0
- model-00006-of-00008.safetensors +3 -0
- model-00007-of-00008.safetensors +3 -0
- model-00008-of-00008.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +50 -0
README.md
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pipeline_tag: text-generation
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---
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-
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# mlx-community/CodeLlama-70b-Instruct-4bit
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This model was converted to MLX format from [`codellama/CodeLlama-70b-Instruct-hf`]().
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Refer to the [original model card](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf) for more details on the model.
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## Use with mlx
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/CodeLlama-70b-Instruct-
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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pipeline_tag: text-generation
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---
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# mlx-community/CodeLlama-70b-Instruct-hf-bit-MLX
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This model was converted to MLX format from [`codellama/CodeLlama-70b-Instruct-hf`]().
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Refer to the [original model card](https://huggingface.co/codellama/CodeLlama-70b-Instruct-hf) for more details on the model.
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## Use with mlx
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/CodeLlama-70b-Instruct-hf-bit-MLX")
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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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"<step>": 32015
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}
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config.json
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{
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"vocab_size": 32016,
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"max_position_embeddings": 4096,
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"hidden_size": 8192,
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"intermediate_size": 28672,
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"num_hidden_layers": 80,
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"num_attention_heads": 64,
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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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"pretraining_tp": 1,
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"use_cache": true,
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"rope_theta": 10000,
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"rope_scaling": null,
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"attention_bias": false,
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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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"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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"chunk_size_feed_forward": 0,
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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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"LlamaForCausalLM"
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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/ifioravanti/.cache/huggingface/hub/models--codellama--CodeLlama-70b-Instruct-hf/snapshots/80509039a782cc64ad437e054074324032d754e8",
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"transformers_version": "4.36.2",
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"model_type": "llama",
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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-00001-of-00008.safetensors
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model-00002-of-00008.safetensors
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special_tokens_map.json
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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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"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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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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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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"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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"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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"32015": {
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"content": "<step>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": true,
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"special": false
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set user_index = 1 %}{% else %}{% set user_index = 0 %}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != ((loop.index0 + user_index) % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 %}{{ '<s>' }}{% endif %}{% set content = 'Source: ' + message['role'] + '\n\n ' + message['content'].strip() %}{{ content + ' <step> ' }}{% endfor %}{{'Source: assistant\nDestination: user\n\n '}}",
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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": null,
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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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}
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