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Model: DreadPoor/Satyr-7B-Model_Stock Source: Original Platform
2026-05-11 18:18:21 +08:00
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--- a/README.md
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+---
+license: apache-2.0
+tags:
+- merge
+- mergekit
+- lazymergekit
+model-index:
+- name: Satyr-7B-Model_Stock
+  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: 68.6
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DreadPoor/Satyr-7B-Model_Stock
+      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: 86.96
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DreadPoor/Satyr-7B-Model_Stock
+      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: 65.02
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DreadPoor/Satyr-7B-Model_Stock
+      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: 63.76
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DreadPoor/Satyr-7B-Model_Stock
+      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: 80.43
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DreadPoor/Satyr-7B-Model_Stock
+      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: 65.66
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=DreadPoor/Satyr-7B-Model_Stock
+      name: Open LLM Leaderboard
+---
+
+# Satyr-7B-Model_Stock
+
+Satyr-7B-Model_Stock is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+  - model: Undi95/Toppy-M-7B
+  - model: Epiculous/Fett-uccine-7B
+merge_method: model_stock
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "DreadPoor/Satyr-7B-Model_Stock"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+# [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_DreadPoor__Satyr-7B-Model_Stock)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.74|
+|AI2 Reasoning Challenge (25-Shot)|68.60|
+|HellaSwag (10-Shot)              |86.96|
+|MMLU (5-Shot)                    |65.02|
+|TruthfulQA (0-shot)              |63.76|
+|Winogrande (5-shot)              |80.43|
+|GSM8k (5-shot)                   |65.66|
+
--- a/config.json
+++ b/config.json
@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "SanjiWatsuki/Kunoichi-DPO-v2-7B",
+  "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": 8192,
+  "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": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}
--- a/mergekit_config.yml
+++ b/mergekit_config.yml
@@ -0,0 +1,9 @@
+
+models:
+  - model: NeverSleep/Noromaid-7B-0.4-DPO
+  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+  - model: Undi95/Toppy-M-7B
+  - model: Epiculous/Fett-uccine-7B
+merge_method: model_stock
+base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
+dtype: bfloat16
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+{
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+}
--- a/tokenizer.json
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--- a/tokenizer.model
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--- a/tokenizer_config.json
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+{
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+  "additional_special_tokens": [],
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+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
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+  "sp_model_kwargs": {},
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+  "tokenizer_class": "LlamaTokenizer",
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+}