初始化项目，由ModelHub XC社区提供模型

Model: jambroz/sixtyoneeighty-4x7B-v1 Source: Original Platform
2026-05-02 02:44:12 +08:00
commit eaad74591a
15 changed files with 91444 additions and 0 deletions
--- a/README.md
+++ b/README.md
@@ -0,0 +1,88 @@
+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- jambroz/sixtyoneeighty-7b-chat
+base_model:
+- jambroz/sixtyoneeighty-7b-chat
+- NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
+- S-miguel/The-Trinity-Coder-7B
+- chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+---
+
+# sixtyoneeighty-7b-MOE
+
+sixtyoneeighty-7b-MOE is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [jambroz/sixtyoneeighty-7b-chat](https://huggingface.co/jambroz/sixtyoneeighty-7b-chat)
+* [NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story)
+* [S-miguel/The-Trinity-Coder-7B](https://huggingface.co/S-miguel/The-Trinity-Coder-7B)
+* [chihoonlee10/T3Q-Mistral-Orca-Math-DPO](https://huggingface.co/chihoonlee10/T3Q-Mistral-Orca-Math-DPO)
+
+## 🧩 Configuration
+
+```yaml
+base_model: cognitivecomputations/dolphin-2.8-mistral-7b-v02
+gate_mode: hidden
+dtype: bfloat16
+experts_per_token: 2
+experts:
+  - source_model: jambroz/sixtyoneeighty-7b-chat
+    positive_prompts:
+      - "What are some fun activities to do in Seattle?"
+      - "What are some fun historical facts about New York City?"
+    negative_prompts:
+      - "Write a Python script to scrape data from a website."
+      - "Explain the key differences between Bayesian and frequentist statistics."
+
+  - source_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
+    positive_prompts:
+      - "Write me a fictional story about dragons and wizards?"
+      - "From now on take on the role of Dwayne Johnson"
+    negative_prompts:
+      - "When is the next solar eclipse."
+      - "What year did World War II end?"
+
+  - source_model: S-miguel/The-Trinity-Coder-7B
+    positive_prompts:
+      - "Can you review my JavaScript code and suggest ways to optimize it for better performance?"
+      - "I'm getting an 'undefined variable' error in my Python script. Here's the code: [code snippet]"
+    negative_prompts:
+      - "What are some effective strategies for managing stress and anxiety?"
+      - "Compare and contrast the themes in 'The Great Gatsby' and 'The Catcher in the Rye'."
+        
+  - source_model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
+    positive_prompts:
+      - "What's a square root of 1337?"
+      - "Find the midpoint of the line segment with the given end points (-5,7) and (-2,1)"
+    negative_prompts:
+      - "What are some effective strategies for managing stress and anxiety?"
+      - "Compare and contrast the themes in 'The Great Gatsby' and 'The Catcher in the Rye'."
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "jambroz/sixtyoneeighty-7b-MOE"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+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"])
+```