prince-canuma
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Browse files- README.md +26 -0
- config.json +88 -0
- model-00001-of-00015.safetensors +3 -0
- model-00002-of-00015.safetensors +3 -0
- model-00003-of-00015.safetensors +3 -0
- model-00004-of-00015.safetensors +3 -0
- model-00005-of-00015.safetensors +3 -0
- model-00006-of-00015.safetensors +3 -0
- model-00007-of-00015.safetensors +3 -0
- model-00008-of-00015.safetensors +3 -0
- model-00009-of-00015.safetensors +3 -0
- model-00010-of-00015.safetensors +3 -0
- model-00011-of-00015.safetensors +3 -0
- model-00012-of-00015.safetensors +3 -0
- model-00013-of-00015.safetensors +3 -0
- model-00014-of-00015.safetensors +3 -0
- model-00015-of-00015.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- mlx
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datasets:
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- teknium/OpenHermes-2.5
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base_model: mistral-community/Mixtral-8x22B-v0.1
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---
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# mlx-community/mixtral-8x22b-instruct-oh-4bit
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This model was converted to MLX format from [`fireworks-ai/mixtral-8x22b-instruct-oh`]() using mlx-lm version **0.9.0**.
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Refer to the [original model card](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh) 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/mixtral-8x22b-instruct-oh-4bit")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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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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"MixtralForCausalLM"
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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": 1,
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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": 2,
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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": 6144,
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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": 16384,
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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": 65536,
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"min_length": 0,
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"model_type": "mixtral",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 48,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 56,
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"num_key_value_heads": 8,
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"num_local_experts": 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_router_logits": 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": 4
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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-05,
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"rope_theta": 1000000,
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"router_aux_loss_coef": 0.001,
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"router_jitter_noise": 0.0,
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"sep_token_id": null,
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"sliding_window": null,
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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": "float16",
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"torchscript": false,
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"transformers_version": "4.38.2",
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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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"vocab_size": 32000
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}
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model-00001-of-00015.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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"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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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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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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"add_prefix_space": true,
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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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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{%- set message_roles = ['USER', 'ASSISTANT'] -%}\n{%- set ns = namespace(initial_system_message_handled=false, messages=messages) -%}\n{{ bos_token }}\n{%- for message in ns.messages -%}\n {%- if message['role'] | upper == 'SYSTEM' and not ns.initial_system_message_handled -%}\n {%- set ns.initial_system_message_handled = true -%}\n {{'SYSTEM: ' + message['content'] }}\n {%- elif message['role'] | upper != 'SYSTEM' -%}\n {%- if (message['role'] | upper == 'USER') != ((loop.index0 - (1 if ns.initial_system_message_handled else 0)) % 2 == 0) -%}\n {{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif -%}\n {%- if loop.index0 > 0 or ns.initial_system_message_handled -%}\n {{ '\\n\\n' }}\n {%- endif -%}\n {%- if message['role'] | upper == 'USER' -%}\n {{ 'USER: ' + message['content'] }}\n {%- elif message['role'] | upper == 'ASSISTANT' -%}\n {{ 'ASSISTANT: ' + message['content'] + eos_token}}\n {%- endif -%}\n {%- endif -%}\n{%- endfor -%}\n",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1000000000000000019884624838656,
|
38 |
+
"pad_token": "<unk>",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"spaces_between_special_tokens": false,
|
41 |
+
"tokenizer_class": "LlamaTokenizer",
|
42 |
+
"unk_token": "<unk>",
|
43 |
+
"use_default_system_prompt": false
|
44 |
+
}
|