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Model: nbeerbower/bruphin-epsilon 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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tags:
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- mergekit
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- merge
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base_model:
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- BarryFutureman/WildMarcoroni-Variant1-7B
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- nbeerbower/bruphin-delta
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model-index:
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- name: bruphin-epsilon
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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: 72.1
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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=nbeerbower/bruphin-epsilon
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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: 88.09
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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=nbeerbower/bruphin-epsilon
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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: 65.04
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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=nbeerbower/bruphin-epsilon
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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: 66.95
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon
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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: 83.82
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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=nbeerbower/bruphin-epsilon
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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: 70.51
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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=nbeerbower/bruphin-epsilon
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name: Open LLM Leaderboard
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---
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# bruphin-epsilon
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [BarryFutureman/WildMarcoroni-Variant1-7B](https://huggingface.co/BarryFutureman/WildMarcoroni-Variant1-7B)
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* [nbeerbower/bruphin-delta](https://huggingface.co/nbeerbower/bruphin-delta)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: nbeerbower/bruphin-delta
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layer_range: [0, 32]
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- model: BarryFutureman/WildMarcoroni-Variant1-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: BarryFutureman/WildMarcoroni-Variant1-7B
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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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_nbeerbower__bruphin-epsilon)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |74.42|
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|AI2 Reasoning Challenge (25-Shot)|72.10|
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|HellaSwag (10-Shot) |88.09|
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|MMLU (5-Shot) |65.04|
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|TruthfulQA (0-shot) |66.95|
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|Winogrande (5-shot) |83.82|
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|GSM8k (5-shot) |70.51|
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28
config.json
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{
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"_name_or_path": "nbeerbower/bruphin-epsilon",
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"architectures": [
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"MistralForCausalLM"
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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": "mistral",
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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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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.0.dev0",
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"unsloth_version": "2024.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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15
mergekit_config.yml
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models:
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- model: nbeerbower/bruphin-delta
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layer_range: [0, 32]
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- model: BarryFutureman/WildMarcoroni-Variant1-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: BarryFutureman/WildMarcoroni-Variant1-7B
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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model-00001-of-00002.safetensors
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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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size 9942981696
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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:ed64721e1fe68d687dbd2de70c50986c40f0158904ad4285d0c777a366df33cd
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model.safetensors.index.json
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special_tokens_map.json
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special_tokens_map.json
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{
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}
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tokenizer.json
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tokenizer_config.json
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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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"padding_side": "right",
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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