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Browse files- README.md +69 -0
- config.json +31 -0
- mergekit_moe_config.yml +21 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.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 +42 -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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- DeepMount00/Minerva-3B-base-RAG
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- FairMind/Minerva-3B-Instruct-v1.0
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base_model:
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- DeepMount00/Minerva-3B-base-RAG
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- FairMind/Minerva-3B-Instruct-v1.0
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---
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# Minerva-MoE-3x3B
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Minerva-MoE-3x3B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [DeepMount00/Minerva-3B-base-RAG](https://huggingface.co/DeepMount00/Minerva-3B-base-RAG)
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* [FairMind/Minerva-3B-Instruct-v1.0](https://huggingface.co/FairMind/Minerva-3B-Instruct-v1.0)
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## 🧩 Configuration
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```yaml
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base_model: sapienzanlp/Minerva-3B-base-v1.0
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experts:
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- source_model: DeepMount00/Minerva-3B-base-RAG
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positive_prompts:
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- "rispondi a domande"
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- "cosa è"
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- "chi è"
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- "dove è"
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- "come si"
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- "spiegami"
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- "definisci"
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- source_model: FairMind/Minerva-3B-Instruct-v1.0
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positive_prompts:
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- "istruzione"
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- "input"
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- "risposta"
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- "scrivi"
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- "sequenza"
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- "istruzioni"
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dtype: bfloat16
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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 = "ludocomito/Minerva-MoE-3x3B"
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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": "sapienzanlp/Minerva-3B-base-v1.0",
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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": 2560,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"max_position_embeddings": 16384,
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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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"router_jitter_noise": 0.0,
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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": "4.40.2",
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"use_cache": false,
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"vocab_size": 32768
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}
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mergekit_moe_config.yml
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base_model: sapienzanlp/Minerva-3B-base-v1.0
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experts:
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- source_model: DeepMount00/Minerva-3B-base-RAG
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positive_prompts:
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- "rispondi a domande"
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- "cosa è"
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- "chi è"
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9 |
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- "dove è"
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- "come si"
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- "spiegami"
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- "definisci"
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- source_model: FairMind/Minerva-3B-Instruct-v1.0
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positive_prompts:
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- "istruzione"
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- "input"
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- "risposta"
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- "scrivi"
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- "sequenza"
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- "istruzioni"
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dtype: bfloat16
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model-00001-of-00002.safetensors
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size 9995929552
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model-00002-of-00002.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer.model
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tokenizer_config.json
ADDED
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