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Model: suayptalha/EmojiLlama-3.1-8B Source: Original Platform
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README.md
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---
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license: apache-2.0
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datasets:
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- Orion-zhen/dpo-mathinstuct-emoji
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language:
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- en
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base_model:
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- meta-llama/Llama-3.1-8B-Instruct
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pipeline_tag: text-generation
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library_name: transformers
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tags:
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- dpo
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- rl
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- axolotl
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---
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# EmojiLlama-3.1-8B
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This model is a fine-tuned version of Llama-3.1-8B using DPO (Direct Preference Optimization) RL technique, designed to make it more friendly and expressive with emojis and jokes.
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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```yaml
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base_model: meta-llama/Llama-3.1-8B-Instruct
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model_type: LlamaForCausalLM
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tokenizer_type: AutoTokenizer
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load_in_8bit: false
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load_in_4bit: true
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strict: false
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chat_template: llama3
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rl: dpo
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datasets:
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- path: Orion-zhen/dpo-mathinstuct-emoji
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type: llama3.prompt_pairs
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chat_template: llama3
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dataset_prepared_path:
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val_set_size: 0.05
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output_dir: ./llama-results
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sequence_len: 8192
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sample_packing: false
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pad_to_sequence_len: true
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adapter: lora
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lora_model_dir:
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lora_r: 8
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lora_alpha: 4
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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bf16: true
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fp16: false
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special_tokens:
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bos_token: "<|begin_of_text|>"
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eos_token: "<|eot_id|>"
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pad_token: "<|eot_id|>"
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additional_special_tokens:
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- "<|begin_of_text|>"
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- "<|eot_id|>"
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wandb_project:
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wandb_entity:
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wandb_watch:
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wandb_name:
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wandb_log_model:
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gradient_accumulation_steps: 8
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micro_batch_size: 2
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num_epochs: 1
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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train_on_inputs: false
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group_by_length: false
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tf32: false
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gradient_checkpointing: true
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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s2_attention:
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warmup_steps: 10
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evals_per_epoch: 2
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eval_table_size:
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eval_max_new_tokens: 128
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saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0.0
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fsdp:
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fsdp_config:
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save_safetensors: true
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```
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</details><br>
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# Prompt Template
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You can use Llama3 prompt template while using the model:
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### Llama3
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```
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<|start_header_id|>system<|end_header_id|>
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{system}<|eot_id|>
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<|start_header_id|>user<|end_header_id|>
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{user}<|eot_id|>
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<|start_header_id|>assistant<|end_header_id|>
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{assistant}<|eot_id|>
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```
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## Example usage:
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```py
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(
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"suayptalha/EmojiLlama-3.1-8B",
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained("suayptalha/EmojiLlama-3.1-8B")
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messages = [
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{"role": "user", "content": "Lana had 8 blank pages left in her binder, but she knew she would need more for her next class. Duane took half of the 42 pages in his binder out and gave them to her. How many pages does Lana have in her binder after adding Duane’s?"},
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]
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inputs = tokenizer.apply_chat_template(
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messages,
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tokenize = True,
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add_generation_prompt = True,
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return_tensors = "pt",
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).to("cuda")
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output = model.generate(input_ids=inputs, max_new_tokens=256, use_cache=True, temperature=0.7)
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decoded_output = tokenizer.decode(output[0], skip_special_tokens=False)
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print(decoded_output)
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```
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## Output:
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```
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💡 Remember, we're doubling Lana's pages, thanks to Duane's kindness! 💕
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Duane gave Lana 42 / 2 = 21 pages 👍
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After adding Duane's, Lana has 21 + 8 = 29 pages in her binder 📚
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The answer is 29 🎉
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```
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# Parameters
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- lr: 2e-5
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- epochs: 1
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- batch_size: 16
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- optimizer: adamw_bnb_8bit
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# Support
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<a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>
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config.json
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{
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"_name_or_path": "meta-llama/Llama-3.1-8B-Instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
|
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"factor": 8.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_type": "llama3"
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},
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.3",
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"use_cache": true,
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"vocab_size": 128256
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}
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configuration.json
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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generation_config.json
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"bos_token_id": 128000,
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"do_sample": true,
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.48.3"
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}
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||||
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|
||||
}
|
||||
}
|
||||
16
special_tokens_map.json
Normal file
16
special_tokens_map.json
Normal file
@@ -0,0 +1,16 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user