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Model: cloudyu/Mixtral_7Bx2_MoE Source: Original Platform
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README.md
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---
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license: cc-by-nc-4.0
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model-index:
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- name: Mixtral_7Bx2_MoE
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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: 71.25
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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=cloudyu/Mixtral_7Bx2_MoE
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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: 87.45
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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=cloudyu/Mixtral_7Bx2_MoE
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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: 64.98
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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=cloudyu/Mixtral_7Bx2_MoE
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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: 67.23
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Mixtral_7Bx2_MoE
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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: 81.22
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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=cloudyu/Mixtral_7Bx2_MoE
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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: 68.46
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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=cloudyu/Mixtral_7Bx2_MoE
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name: Open LLM Leaderboard
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---
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# Mixtral MOE 2x7B
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MoE of the following models :
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* [NurtureAI/neural-chat-7b-v3-16k](https://huggingface.co/NurtureAI/neural-chat-7b-v3-16k)
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* [mncai/mistral-7b-dpo-v6](https://huggingface.co/mncai/mistral-7b-dpo-v6)
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* metrics:
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Average 73.43
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ARC 71.25
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HellaSwag 87.45
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gpu code example
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```
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import math
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## v2 models
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model_path = "cloudyu/Mixtral_7Bx2_MoE"
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tokenizer = AutoTokenizer.from_pretrained(model_path, use_default_system_prompt=False)
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model = AutoModelForCausalLM.from_pretrained(
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model_path, torch_dtype=torch.float32, device_map='auto',local_files_only=False, load_in_4bit=True
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)
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print(model)
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prompt = input("please input prompt:")
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while len(prompt) > 0:
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to("cuda")
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generation_output = model.generate(
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input_ids=input_ids, max_new_tokens=500,repetition_penalty=1.2
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)
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print(tokenizer.decode(generation_output[0]))
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prompt = input("please input prompt:")
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```
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CPU example
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```
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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import math
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## v2 models
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model_path = "cloudyu/Mixtral_7Bx2_MoE"
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tokenizer = AutoTokenizer.from_pretrained(model_path, use_default_system_prompt=False)
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model = AutoModelForCausalLM.from_pretrained(
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model_path, torch_dtype=torch.float32, device_map='cpu',local_files_only=False
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)
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print(model)
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prompt = input("please input prompt:")
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while len(prompt) > 0:
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input_ids = tokenizer(prompt, return_tensors="pt").input_ids
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generation_output = model.generate(
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input_ids=input_ids, max_new_tokens=500,repetition_penalty=1.2
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)
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print(tokenizer.decode(generation_output[0]))
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prompt = input("please input prompt:")
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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_cloudyu__Mixtral_7Bx2_MoE)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |73.43|
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|AI2 Reasoning Challenge (25-Shot)|71.25|
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|HellaSwag (10-Shot) |87.45|
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|MMLU (5-Shot) |64.98|
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|TruthfulQA (0-shot) |67.23|
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|Winogrande (5-shot) |81.22|
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|GSM8k (5-shot) |68.46|
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30
config.json
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{
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"_name_or_path": "NurtureAI/neural-chat-7b-v3-16k",
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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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"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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 2,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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