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Model: maldv/winter-garden-7b-alpha
Source: Original Platform

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README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- merge
+- conversational
+- multi-task
+pipeline_tag: text-generation
+base_model:
+- paulml/OmniBeagleSquaredMBX-v3-7B
+- ZySec-AI/ZySec-7B-v1
+- liminerity/Omningotex-7b-slerp
+- localfultonextractor/Erosumika-7B
+- KatyTheCutie/LemonadeRP-4.5.3
+- cgato/Thespis-Krangled-7b
+- CorticalStack/pastiche-crown-clown-7b-dare
+- snorkelai/Snorkel-Mistral-PairRM-DPO
+- MTSAIR/multi_verse_model
+model-index:
+- name: winter-garden-7b-alpha - "Smart Assistant"
+  results:
+  - 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: 65.19
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 85.36
+      name: normalized accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 65.2
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 50.94
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 80.35
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      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: 54.44
+      name: accuracy
+    source:
+      url: >-
+        https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=maldv/winter-garden-7b-alpha
+      name: Open LLM Leaderboard
+---
+
+# Winter Garden 7B - α - "Smart Assistant"
+
+It was mentioned that we are in the open ai dark winter; so I thought I would make myself a nice winter garden.
+
+## An experiment
+
+I've merged four partitions successfully in the past, so lets go for 9! I started with:
+
+* Mistral-7B-v0.1
+
+and merged in
+
+* OmniBeagleSquaredMBX-v3-7B
+* ZySec-7B-v1
+* Omningotex-7b-slerp
+* Erosumika-7B
+* LemonadeRP-4.5.3
+* Thespis-Krangled-7b
+* pastiche-crown-clown-7b-dare
+* Snorkel-Mistral-PairRM-DPO
+* multi_verse_model
+ 
+### 9-partition merge
+
+All of the layers were partitioned in to 9 random bins.  Alternating models were slerped at [0...1], and [1...0] gradients; except attention, which was slerped at 0.03.
+
+This means that the model is still predominantly ordered around base mistral - including half of the input and output layers, and 28% of attention.
+
+### Other
+
+Includes fast tokenizer.
+
+## Chat Template
+
+I put a conversational chat template, which takes "name", "to" (optional), and "content" as the turns.  It is designed to follow a transcript style chat which is used by some of the models.  This type of use-case is best done by outlining a scene and creating a character card.
+
+```
+### {% title %}
+{% metadata %}
+
+USER: Hello
+
+ASSISTANT: Hi, how are you?
+
+```
+
+It leans to being a coder when given an `### Instruction`, follows `<s>[INST][/INST]`, and likes `<|user|>`, `<|assistant|>` as well.
+
+A quite cheery and intelligent model.  Very good with science and math, but still capable of a decent amount of creativity for a 7b model.
+
+## Scores
+
+Metric | Score
+---|---
+Average | 66.91
+ARC | 65.19
+HellaSwag | 85.36
+MMLU | 65.2
+TruthfulQA | 50.94
+Winogrande | 80.35
+GSM8K | 54.44
+
+[Details](https://huggingface.co/datasets/open-llm-leaderboard/details_maldv__winter-garden-7b-alpha)

config.json

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+{
+  "_name_or_path": "Mistral-7B-v0.1",
+  "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": "4.38.1",
+  "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": "4.38.1"
+}

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special_tokens_map.json

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+    "single_word": false
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+}

tokenizer_config.json

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+  "tokenizer_class": "LlamaTokenizer",
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+  "use_fast": true
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