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Model: kyujinpy/PlatYi-34B-Llama-Q Source: Original Platform
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PlatYi.png
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---
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language:
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- en
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license: cc-by-nc-sa-4.0
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library_name: transformers
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datasets:
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- garage-bAInd/Open-Platypus
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pipeline_tag: text-generation
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model-index:
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- name: PlatYi-34B-Llama-Q
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 65.7
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-Llama-Q
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 85.22
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-Llama-Q
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 78.78
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-Llama-Q
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 53.64
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-Llama-Q
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 83.03
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-Llama-Q
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 60.42
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=kyujinpy/PlatYi-34B-Llama-Q
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name: Open LLM Leaderboard
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---
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# **PlatYi-34B-Llama-Q**
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<img src='./PlatYi.png' width=256>
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## Model Details
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**Model Developers** Kyujin Han (kyujinpy)
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**Input** Models input text only.
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**Output** Models generate text only.
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**Model Architecture**
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PlatYi-34B-Llama-Q is an auto-regressive language model based on the Yi-34B transformer architecture.
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**Blog Link**
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Blog: [Coming soon...]
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Github: [Coming soon...]
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**Base Model**
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[chargoddard/Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama)
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**Training Dataset**
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[garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus).
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## Notice
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While training, I used Q-LoRA.
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The lora_r values is 64.
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# **Model Benchmark**
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## Open leaderboard
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- Follow up as [link](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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| Model | Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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| **PlatYi-34B-Llama-Q** | 71.13 | 65.70 | 85.22 | 78.78 | 53.64 | 83.03 | 60.42 |
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| PlatYi-34B-Llama | 68.37 | 67.83 | 85.35 | 78.26 | 53.46 | 82.87 | 42.46 |
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| [Yi-34B-Llama](https://huggingface.co/chargoddard/Yi-34B-Llama) | 70.95 | 64.59 | 85.63 | 76.31 | 55.60 | 82.79 | 60.80 |
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| [Yi-34B](https://huggingface.co/01-ai/Yi-34B) | 69.42 | 64.59 | 85.69 | 76.35 | 56.23 | 83.03 | 50.64 |
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# Implementation Code
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```python
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### KO-Platypus
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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repo = "kyujinpy/PlatYi-34B-Llama-Q"
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OpenOrca = AutoModelForCausalLM.from_pretrained(
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repo,
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return_dict=True,
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torch_dtype=torch.float16,
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device_map='auto'
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)
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OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
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```
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---
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_kyujinpy__PlatYi-34B-Llama-Q)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |71.13|
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|AI2 Reasoning Challenge (25-Shot)|65.70|
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|HellaSwag (10-Shot) |85.22|
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|MMLU (5-Shot) |78.78|
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|TruthfulQA (0-shot) |53.64|
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|Winogrande (5-shot) |83.03|
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|GSM8k (5-shot) |60.42|
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28
config.json
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{
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"_name_or_path": "./PlatYi-LoRA-v2/final",
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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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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 64000
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}
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generation_config.json
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
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||||
174161
tokenizer.json
Normal file
174161
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
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Normal file
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|
||||
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||||
size 1033105
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38
tokenizer_config.json
Normal file
38
tokenizer_config.json
Normal file
@@ -0,0 +1,38 @@
|
||||
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|
||||
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}
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||||
Reference in New Issue
Block a user