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README.md

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+---
+base_model:
+- Qwen/Qwen-7B
+- TideDra/Qwen-VL-Chat-DPO
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- Qwen/Qwen-7B
+- TideDra/Qwen-VL-Chat-DPO
+---
+
+# QwenMoEAriel
+
+QwenMoEAriel is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [Qwen/Qwen-7B](https://huggingface.co/Qwen/Qwen-7B)
+* [TideDra/Qwen-VL-Chat-DPO](https://huggingface.co/TideDra/Qwen-VL-Chat-DPO)
+
+## 🧩 Configuration
+
+```yaml
+base_model: Qwen/Qwen-7B
+gate_mode: cheap_embed
+experts:
+  - source_model: Qwen/Qwen-7B
+    positive_prompts:
+    - "chat"
+    - "assistant"
+    - "tell me"
+    - "explain"
+    - "I want"
+  - source_model: TideDra/Qwen-VL-Chat-DPO
+    positive_prompts:
+    - "code"
+    - "python"
+    - "javascript"
+    - "programming"
+    - "algorithm"
+shared_experts:
+  - source_model: Qwen/Qwen-7B
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "femiari/QwenMoEAriel"
+
+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"])
+```

config.json

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+{
+  "_name_or_path": "Qwen/Qwen-7B",
+  "architectures": [
+    "MixtralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "attn_dropout_prob": 0.0,
+  "auto_map": {
+    "AutoConfig": "Qwen/Qwen-7B--configuration_qwen.QWenConfig",
+    "AutoModelForCausalLM": "Qwen/Qwen-7B--modeling_qwen.QWenLMHeadModel"
+  },
+  "bf16": false,
+  "bos_token_id": null,
+  "emb_dropout_prob": 0.0,
+  "eos_token_id": null,
+  "fp16": false,
+  "fp32": false,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 22016,
+  "kv_channels": 128,
+  "layer_norm_epsilon": 1e-06,
+  "max_position_embeddings": 32768,
+  "model_type": "mixtral",
+  "no_bias": true,
+  "num_attention_heads": 32,
+  "num_experts_per_tok": 2,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "num_local_experts": 2,
+  "onnx_safe": null,
+  "output_router_logits": false,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 10000.0,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 1.0,
+  "router_aux_loss_coef": 0.001,
+  "router_jitter_noise": 0.0,
+  "scale_attn_weights": true,
+  "seq_length": 8192,
+  "sliding_window": null,
+  "softmax_in_fp32": false,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "QWenTokenizer",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "use_cache_kernel": false,
+  "use_cache_quantization": false,
+  "use_dynamic_ntk": true,
+  "use_flash_attn": "auto",
+  "use_logn_attn": true,
+  "vocab_size": 151936
+}