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Browse files- README.md +108 -0
- config.json +30 -0
- mergekit_moe_config.yml +60 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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license: apache-2.0
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tags:
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- moe
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- frankenmoe
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- merge
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- mergekit
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- lazymergekit
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- bardsai/jaskier-7b-dpo-v6.1
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- CultriX/NeuralTrix-7B-dpo
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base_model:
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- bardsai/jaskier-7b-dpo-v6.1
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- CultriX/NeuralTrix-7B-dpo
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---
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# megatron_2.1_MoE_2x7B
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megatron_2.1_MoE_2x7B is a Mixure of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [bardsai/jaskier-7b-dpo-v6.1](https://huggingface.co/bardsai/jaskier-7b-dpo-v6.1)
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* [CultriX/NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo)
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## 🧩 Configuration
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```yaml
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base_model: bardsai/jaskier-7b-dpo-v6.1
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: bardsai/jaskier-7b-dpo-v6.1
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positive_prompts:
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- "Mathematics"
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- "Physics"
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- "Chemistry"
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- "Biology"
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- "Medicine"
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- "Engineering"
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- "Computer Science"
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negative_prompts:
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- "Earth Sciences (Geology, Meteorology, Oceanography)"
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- "Environmental Science"
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- "Astronomy and Space Science"
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- "Psychology"
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- "Sociology"
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- "Anthropology"
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- "Political Science"
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- "Economics"
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- "Education"
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- "Law"
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- "Theology and Religious Studies"
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- "Communication Studies"
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- "Business and Management"
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- "Agricultural Sciences"
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- "Nutrition and Food Science"
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- "Sports Science"
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- source_model: CultriX/NeuralTrix-7B-dpo
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positive_prompts:
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- "Earth Sciences (Geology, Meteorology, Oceanography)"
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- "Environmental Science"
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- "Astronomy and Space Science"
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- "Psychology"
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- "Sociology"
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- "Anthropology"
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- "Political Science"
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- "Economics"
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- "Education"
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- "Law"
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- "Theology and Religious Studies"
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- "Communication Studies"
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- "Business and Management"
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- "Agricultural Sciences"
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- "Nutrition and Food Science"
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- "Sports Science"
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negative_prompts:
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- "Mathematics"
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- "Physics"
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- "Chemistry"
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- "Biology"
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- "Medicine"
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- "Engineering"
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- "Computer Science"
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```
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## 💻 Usage
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```python
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!pip install -qU transformers bitsandbytes accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "Eurdem/megatron_2.1_MoE_2x7B"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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)
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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config.json
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{
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"_name_or_path": "bardsai/jaskier-7b-dpo-v6.1",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 2,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.0",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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base_model: bardsai/jaskier-7b-dpo-v6.1
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gate_mode: hidden
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dtype: bfloat16
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experts:
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- source_model: bardsai/jaskier-7b-dpo-v6.1
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positive_prompts:
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- "Mathematics"
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- "Physics"
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- "Chemistry"
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- "Biology"
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- "Medicine"
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- "Engineering"
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- "Computer Science"
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+
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negative_prompts:
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- "Earth Sciences (Geology, Meteorology, Oceanography)"
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- "Environmental Science"
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- "Astronomy and Space Science"
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- "Psychology"
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- "Sociology"
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- "Anthropology"
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- "Political Science"
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- "Economics"
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- "Education"
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- "Law"
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- "Theology and Religious Studies"
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- "Communication Studies"
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- "Business and Management"
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- "Agricultural Sciences"
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- "Nutrition and Food Science"
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- "Sports Science"
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+
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- source_model: CultriX/NeuralTrix-7B-dpo
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positive_prompts:
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- "Earth Sciences (Geology, Meteorology, Oceanography)"
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- "Environmental Science"
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- "Astronomy and Space Science"
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- "Psychology"
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- "Sociology"
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- "Anthropology"
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- "Political Science"
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- "Economics"
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- "Education"
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- "Law"
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- "Theology and Religious Studies"
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- "Communication Studies"
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- "Business and Management"
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- "Agricultural Sciences"
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- "Nutrition and Food Science"
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- "Sports Science"
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negative_prompts:
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- "Mathematics"
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- "Physics"
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- "Chemistry"
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- "Biology"
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- "Medicine"
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- "Engineering"
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- "Computer Science"
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model-00001-of-00003.safetensors
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size 9919813704
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model-00002-of-00003.safetensors
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4"}, "weight_map": {"model.embed_tokens.weight": "model-00001-of-00003.safetensors", "model.norm.weight": "model-00001-of-00003.safetensors", "lm_head.weight": "model-00001-of-00003.safetensors", "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors", "model.layers.9.input_layernorm.weight": 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9 |
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"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"clean_up_tokenization_spaces": false,
|
33 |
+
"eos_token": "</s>",
|
34 |
+
"legacy": true,
|
35 |
+
"model_max_length": 32768,
|
36 |
+
"pad_token": "<s>",
|
37 |
+
"padding_side": "left",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|