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Browse files- README.md +48 -0
- added_tokens.json +13 -0
- config.json +36 -0
- generation_config.json +11 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +202 -0
- runs/Jul11_11-48-54_41b94311e2c3/events.out.tfevents.1720698549.41b94311e2c3.1442.0 +2 -2
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +131 -0
- training_args.bin +3 -0
- training_params.json +48 -0
README.md
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---
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tags:
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- autotrain
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- text-generation-inference
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- text-generation
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- peft
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library_name: transformers
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base_model: microsoft/Phi-3-mini-4k-instruct
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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datasets:
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- MugenYume/OpenHermes-2.5-tiny
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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added_tokens.json
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{
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"<|assistant|>": 32001,
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"<|endoftext|>": 32000,
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"<|end|>": 32007,
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"<|placeholder1|>": 32002,
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"<|placeholder2|>": 32003,
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"<|placeholder3|>": 32004,
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"<|placeholder4|>": 32005,
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"<|placeholder5|>": 32008,
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"<|placeholder6|>": 32009,
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"<|system|>": 32006,
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"<|user|>": 32010
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}
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config.json
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{
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"_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
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"architectures": [
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"Phi3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config",
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"AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM"
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},
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"bos_token_id": 1,
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"embd_pdrop": 0.0,
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"eos_token_id": 32000,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 4096,
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"model_type": "phi3",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"original_max_position_embeddings": 4096,
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"pad_token_id": 32000,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"sliding_window": 2047,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.42.2",
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"use_cache": true,
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"vocab_size": 32011
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": [
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32000,
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32001,
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32007
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],
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"pad_token_id": 32000,
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"transformers_version": "4.42.2"
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d2232736cf482f67270ffd581b726a71b265e6a81b5fcd9e4820b7a8e27e894
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size 4972163568
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0852eaf9812345ea4fafa8240fcbbe29490a699b4b8e7d3d5b1f44604363883
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size 2669366856
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model.safetensors.index.json
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
118 |
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|
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|
120 |
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"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
|
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|
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|
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|
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|
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|
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|
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|
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"tokenizer_class": "LlamaTokenizer",
|
129 |
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"unk_token": "<unk>",
|
130 |
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"use_default_system_prompt": false
|
131 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:14808dd07cb197d81bca858214c763e44610826ccbd7ec20a08d31efa8d1a1db
|
3 |
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size 5432
|
training_params.json
ADDED
@@ -0,0 +1,48 @@
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|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"model": "microsoft/Phi-3-mini-4k-instruct",
|
3 |
+
"project_name": "TinyHermes-phi-3-mini-4k-instruct",
|
4 |
+
"data_path": "MugenYume/OpenHermes-2.5-tiny",
|
5 |
+
"train_split": "train",
|
6 |
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"valid_split": null,
|
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"add_eos_token": true,
|
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|
9 |
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|
10 |
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"padding": "right",
|
11 |
+
"trainer": "sft",
|
12 |
+
"use_flash_attention_2": false,
|
13 |
+
"log": "tensorboard",
|
14 |
+
"disable_gradient_checkpointing": false,
|
15 |
+
"logging_steps": -1,
|
16 |
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"eval_strategy": "epoch",
|
17 |
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"save_total_limit": 1,
|
18 |
+
"auto_find_batch_size": true,
|
19 |
+
"mixed_precision": "fp16",
|
20 |
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"lr": 3e-05,
|
21 |
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|
22 |
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|
23 |
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|
24 |
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"gradient_accumulation": 1,
|
25 |
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"optimizer": "adamw_torch",
|
26 |
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"scheduler": "linear",
|
27 |
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|
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|
29 |
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"seed": 42,
|
30 |
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"chat_template": "none",
|
31 |
+
"quantization": "int4",
|
32 |
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"target_modules": "all-linear",
|
33 |
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|
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|
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|
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|
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|
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|
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"prompt_text_column": "prompt",
|
43 |
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"text_column": "text",
|
44 |
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"rejected_text_column": "rejected_text",
|
45 |
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"push_to_hub": true,
|
46 |
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"username": "MugenYume",
|
47 |
+
"unsloth": false
|
48 |
+
}
|