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.gitignore ADDED
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+ .ipynb_checkpoints/
README.md ADDED
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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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+ ---
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+
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+ # Brunhilde-2x7b-MOE-DPO-v.01.5
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+
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+ Brunhilde-2x7b-MOE-DPO-v.01.5 is a Mixure of Experts (MoE).
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+ * [NurtureAI/neural-chat-7b-v3-16k](https://huggingface.co/NurtureAI/neural-chat-7b-v3-16k)
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+ * [mncai/mistral-7b-dpo-v6](https://huggingface.co/mncai/mistral-7b-dpo-v6)
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+ ```
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+
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+ ## Usage
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+
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+ ```python
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+ !pip install -qU transformers bitsandbytes accelerate
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+
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+ from transformers import AutoTokenizer
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+ import transformers
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+ import torch
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+
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+ model = "arlineka/Brunhilde-2x7b-MOE-DPO-v.01.5"
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+
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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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+
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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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+ "architectures": [
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+ "MixtralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "eos_token_id": 2,
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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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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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