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Model: nlpguy/Hermes-low-tune-2 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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- simonveitner/Math-OpenHermes-2.5-Mistral-7B
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- mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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- openaccess-ai-collective/dpopenhermes-alpha-v0
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- teknium/OpenHermes-2.5-Mistral-7B
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- mlabonne/NeuralHermes-2.5-Mistral-7B
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model-index:
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- name: Hermes-low-tune-2
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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: 65.61
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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=nlpguy/Hermes-low-tune-2
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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: 84.47
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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=nlpguy/Hermes-low-tune-2
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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: 63.69
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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=nlpguy/Hermes-low-tune-2
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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: 53.18
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nlpguy/Hermes-low-tune-2
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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: 77.74
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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=nlpguy/Hermes-low-tune-2
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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: 63.53
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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=nlpguy/Hermes-low-tune-2
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name: Open LLM Leaderboard
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---
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# merged
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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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [simonveitner/Math-OpenHermes-2.5-Mistral-7B](https://huggingface.co/simonveitner/Math-OpenHermes-2.5-Mistral-7B)
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* [mlabonne/NeuralHermes-2.5-Mistral-7B-laser](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B-laser)
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* [openaccess-ai-collective/dpopenhermes-alpha-v0](https://huggingface.co/openaccess-ai-collective/dpopenhermes-alpha-v0)
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* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
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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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base_model: teknium/OpenHermes-2.5-Mistral-7B
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dtype: bfloat16
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merge_method: task_arithmetic
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slices:
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- sources:
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- layer_range: [0, 32]
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model: teknium/OpenHermes-2.5-Mistral-7B
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- layer_range: [0, 32]
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model: simonveitner/Math-OpenHermes-2.5-Mistral-7B
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parameters:
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weight: 0.25
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- layer_range: [0, 32]
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model: openaccess-ai-collective/dpopenhermes-alpha-v0
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parameters:
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weight: 0.25
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- layer_range: [0, 32]
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model: mlabonne/NeuralHermes-2.5-Mistral-7B
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parameters:
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weight: 0.25
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- layer_range: [0, 32]
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model: mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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parameters:
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weight: 0.25
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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_nlpguy__Hermes-low-tune-2)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |68.04|
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|AI2 Reasoning Challenge (25-Shot)|65.61|
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|HellaSwag (10-Shot) |84.47|
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|MMLU (5-Shot) |63.69|
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|TruthfulQA (0-shot) |53.18|
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|Winogrande (5-shot) |77.74|
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|GSM8k (5-shot) |63.53|
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4
added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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config.json
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config.json
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{
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"_name_or_path": "teknium/OpenHermes-2.5-Mistral-7B",
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"architectures": [
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"MistralForCausalLM"
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],
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"bos_token_id": 1,
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"eos_token_id": 32000,
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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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"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": "4.35.2",
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"use_cache": false,
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"vocab_size": 32002
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}
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mergekit_config.yml
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base_model: teknium/OpenHermes-2.5-Mistral-7B
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dtype: bfloat16
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merge_method: task_arithmetic
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slices:
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- sources:
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- layer_range: [0, 32]
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model: teknium/OpenHermes-2.5-Mistral-7B
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- layer_range: [0, 32]
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model: simonveitner/Math-OpenHermes-2.5-Mistral-7B
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parameters:
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weight: 0.25
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- layer_range: [0, 32]
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model: openaccess-ai-collective/dpopenhermes-alpha-v0
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parameters:
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weight: 0.25
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- layer_range: [0, 32]
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model: mlabonne/NeuralHermes-2.5-Mistral-7B
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parameters:
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weight: 0.25
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- layer_range: [0, 32]
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model: mlabonne/NeuralHermes-2.5-Mistral-7B-laser
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parameters:
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weight: 0.25
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{
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"use_default_system_prompt": true,
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"use_fast": true
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}
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