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Model: FelixChao/NinjaDolphin-7B Source: Original Platform
2026-06-18 10:32:20 +08:00
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+---
+license: apache-2.0
+tags:
+- merge
+- beowolx/CodeNinja-1.0-OpenChat-7B
+- beowolx/MistralHermes-CodePro-7B-v1
+model-index:
+- name: NinjaDolphin-7B
+  results:
+  - task:
+      type: text-generation             # Required. Example: automatic-speech-recognition
+    dataset:
+      type: openai_humaneval         # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
+      name: HumanEval         # Required. A pretty name for the dataset. Example: Common Voice (French)
+    metrics:
+      - type: pass@1         # Required. Example: wer. Use metric id from https://hf.co/metrics
+        value: 52.4390243902439       # Required. Example: 20.90
+        name: pass@1         # Optional. Example: Test WER
+        verified: false
+---
+
+# NinjaDolphin-7B
+
+NinjaDolphin-7B is a merge of the following models using:
+* [beowolx/CodeNinja-1.0-OpenChat-7B](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B)
+* [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
+
+Improving coding ability from [FelixChao/WizardDolphin-7B](https://huggingface.co/FelixChao/WizardDolphin-7B).
+
+## HumanEval (uninstructed and no post-process)
+
+| Metric | Value |
+| --- | --- |
+| humaneval-python |52.4390243902439|
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a53b0747a04f0512941b6f/NIALzUR53HC1eB1i_xwKD.png)
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: FelixChao/WizardDolphin-7B
+  - model: beowolx/CodeNinja-1.0-OpenChat-7B
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: beowolx/MistralHermes-CodePro-7B-v1
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: FelixChao/WizardDolphin-7B
+parameters:
+  int8_mask: true
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "FelixChao/NinjaDolphin-7B"
+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_FelixChao__NinjaDolphin-7B)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |69.74|
+|AI2 Reasoning Challenge (25-Shot)|65.61|
+|HellaSwag (10-Shot)              |85.35|
+|MMLU (5-Shot)                    |64.43|
+|TruthfulQA (0-shot)              |54.94|
+|Winogrande (5-shot)              |80.27|
+|GSM8k (5-shot)                   |67.85|
+