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Model: giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
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README.md

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+---
+arxiv: 
+language:
+- en
+license: cc-by-nc-4.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+- not-for-all-audiences
+base_model:
+- cognitivecomputations/WestLake-7B-v2-laser
+- NeverSleep/Noromaid-7B-0.4-DPO
+- teknium/OpenHermes-2.5-Mistral-7B
+- mistralai/Mistral-7B-v0.1
+- Intel/neural-chat-7b-v3-3
+model-index:
+- name: WestLake_Noromaid_OpenHermes_neural-chatv0.1
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: EQ-Bench
+      type: eq-bench
+      config: EQ-Bench
+      split: v2
+      args:
+        num_few_shot: 1
+    metrics:
+    - type: acc_norm
+      value: 65.56
+      name: normalized accuracy
+    source:
+      url: https://github.com/EQ-bench/EQ-Bench
+      name: EQ-Bench v2.1
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: AI2 Reasoning Challenge (25-Shot)
+      type: ai2_arc
+      config: ARC-Challenge
+      split: test
+      args:
+        num_few_shot: 25
+    metrics:
+    - type: acc_norm
+      value: 66.72
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: HellaSwag (10-Shot)
+      type: hellaswag
+      split: validation
+      args:
+        num_few_shot: 10
+    metrics:
+    - type: acc_norm
+      value: 85.37
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU (5-Shot)
+      type: cais/mmlu
+      config: all
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 64.67
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: TruthfulQA (0-shot)
+      type: truthful_qa
+      config: multiple_choice
+      split: validation
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: mc2
+      value: 51.5
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: Winogrande (5-shot)
+      type: winogrande
+      config: winogrande_xl
+      split: validation
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 79.72
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GSM8k (5-shot)
+      type: gsm8k
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 65.2
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1
+      name: Open LLM Leaderboard
+---
+# WestLake_Noromaid_OpenHermes_neural-chatv0.1
+
+<img src="https://cdn-uploads.huggingface.co/production/uploads/655a9883cbbaec115c3fd6b3/ElrkYfCq7kNW9zxZhXWEz.png" alt="drawing" width="800"/>
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). DPO training data has been used to slightly uncensor the LLM.
+The model's focus is in conversational roleplay. In limited testing, I've been very happy with the result. It has been able to pick up stories where other models have failed or started to loop their responses, and it seems to pace the story well.
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser)
+* [NeverSleep/Noromaid-7B-0.4-DPO](https://huggingface.co/NeverSleep/Noromaid-7B-0.4-DPO)
+* [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
+* [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: cognitivecomputations/WestLake-7B-v2-laser
+    parameters:
+      density: 0.55
+      weight: 0.15
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+    parameters:
+      density: 0.55
+      weight: 0.35
+  - model: teknium/OpenHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.55
+      weight: 0.30
+  - model: Intel/neural-chat-7b-v3-3
+    parameters:
+      density: 0.55
+      weight: 0.20
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```
+### Benchmark Testing
+<img src="https://cdn-uploads.huggingface.co/production/uploads/655a9883cbbaec115c3fd6b3/sO_QybG17FYdT47FyAcMs.png" alt="drawing" width="800"/>
+
+|                                                         | MT-Bench                                    | EQ-Bench v2.1                               |
+|---------------------------------------------------------|---------------------------------------------|---------------------------------------------|
+| giraffe176/WestLake_Noromaid_OpenHermes_neural-chatv0.1 | 7.171875                                    | 65.56                                       |
+|                                                         | [(Paper)](https://arxiv.org/abs/2306.05685) | [(Paper)](https://arxiv.org/abs/2312.06281) |
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_giraffe176__WestLake_Noromaid_OpenHermes_neural-chatv0.1)
+
+|                                           | Avg.  | AI2 (25-Shot) | HellaSwag (10-Shot) | MMLU (5-Shot) | TruthfulQA (0-shot) | Winogrande (5-shot) | GSM8k (5-shot) |
+|:-----------------------------------------:|-------|-----------------------------------|---------------------|---------------|---------------------|---------------------|----------------|
+| This model                                | 68.86 | 66.72                             | 85.37               | 64.67         | 51.50               | 79.72               | 65.20          |
+| cognitivecomputations/WestLake-7B-v2-laser| **74.78** | 73.29                             | **88.66**               | **64.72**         | **67.04**               | **86.74**               | **68.23**          |
+| NeverSleep/Noromaid-7B-0.4-DPO            | 59.08 | 62.29                             | 84.32               | 63.2          | 42.28               | 76.95               | 25.47          |
+| teknium/OpenHermes-2.5-Mistral-7B         | 61.52 | 64.93                             | 84.18               | 63.64         | 52.24               | 78.06               | 26.08          |
+| Intel/neural-chat-7b-v3-3                 | 69.83 | **66.89**                             | 85.26               | 63.07         | 63.01               | 79.64               | 61.11          |
+
+### DPO training data used:
+- unalignment/toxic-dpo-v0.2 (Curated version)

config.json

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+{
+  "_name_or_path": "giraffe176/WestLake_Noromaid_OpenHermes_neural-chat",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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