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Delete GGUF-arm
Browse files- GGUF-arm/README.md +0 -54
- GGUF-arm/adapter_config.json +0 -21
- GGUF-arm/adapter_model.bin +0 -3
- GGUF-arm/checkpoint-1/README.md +0 -34
- GGUF-arm/checkpoint-1/adapter_config.json +0 -21
- GGUF-arm/checkpoint-1/adapter_model.bin +0 -3
- GGUF-arm/checkpoint-1/optimizer.pt +0 -3
- GGUF-arm/checkpoint-1/rng_state.pth +0 -3
- GGUF-arm/checkpoint-1/scheduler.pt +0 -3
- GGUF-arm/checkpoint-1/special_tokens_map.json +0 -29
- GGUF-arm/checkpoint-1/tokenizer.json +0 -0
- GGUF-arm/checkpoint-1/tokenizer_config.json +0 -46
- GGUF-arm/checkpoint-1/trainer_state.json +0 -18
- GGUF-arm/checkpoint-1/training_args.bin +0 -3
- GGUF-arm/runs/Oct29_14-04-03_36ac896f0d4e/events.out.tfevents.1698588250.36ac896f0d4e.485.0 +0 -3
- GGUF-arm/special_tokens_map.json +0 -29
- GGUF-arm/tokenizer.json +0 -0
- GGUF-arm/tokenizer_config.json +0 -46
- GGUF-arm/training_args.bin +0 -3
GGUF-arm/README.md
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---
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license: mit
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base_model: HuggingFaceH4/zephyr-7b-alpha
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tags:
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- generated_from_trainer
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model-index:
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- name: GGUF-arm
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# GGUF-arm
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-alpha](https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- training_steps: 100
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### Training results
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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GGUF-arm/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-alpha",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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GGUF-arm/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b97bad9aaa9d44a8a49c3a887a66e5c0fd8a75d24078f0eff402d69b0842a17
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size 13677706
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GGUF-arm/checkpoint-1/README.md
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---
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library_name: peft
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---
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: bitsandbytes
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- load_in_8bit: False
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- load_in_4bit: True
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: nf4
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- bnb_4bit_use_double_quant: True
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- bnb_4bit_compute_dtype: float16
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### Framework versions
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- PEFT 0.5.0
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- PEFT 0.5.0
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GGUF-arm/checkpoint-1/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "HuggingFaceH4/zephyr-7b-alpha",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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GGUF-arm/checkpoint-1/adapter_model.bin
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GGUF-arm/checkpoint-1/optimizer.pt
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GGUF-arm/checkpoint-1/rng_state.pth
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GGUF-arm/checkpoint-1/special_tokens_map.json
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GGUF-arm/checkpoint-1/tokenizer.json
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GGUF-arm/checkpoint-1/tokenizer_config.json
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],
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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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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"truncation_side": "left",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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GGUF-arm/checkpoint-1/trainer_state.json
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{
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GGUF-arm/checkpoint-1/training_args.bin
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GGUF-arm/runs/Oct29_14-04-03_36ac896f0d4e/events.out.tfevents.1698588250.36ac896f0d4e.485.0
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GGUF-arm/special_tokens_map.json
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{
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}
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}
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GGUF-arm/tokenizer.json
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GGUF-arm/tokenizer_config.json
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{
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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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"special": true
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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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"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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"<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": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% 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": "</s>",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"truncation_side": "left",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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GGUF-arm/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7139291f338e9a107d2f95f645ca28419cde427d8fd967b31812376aa1de3818
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size 4536
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