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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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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - beowolx/MistralHermes-CodePro-7B-v1
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+ - openvoid/prox-2.1-mistral-7b
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+ ---
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+
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+ # Proximus-2x7B
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+
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+ Proximus-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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+ * [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)
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+ * [openvoid/prox-2.1-mistral-7b](https://huggingface.co/openvoid/prox-2.1-mistral-7b)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ base_model: mlabonne/NeuralHermes-2.5-Mistral-7B
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+ experts:
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+ - source_model: beowolx/MistralHermes-CodePro-7B-v1
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+ positive_prompts:
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+ - "code"
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+ - "python"
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+ - "javascript"
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+ - "programming"
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+ - "algorithm"
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+ - source_model: openvoid/prox-2.1-mistral-7b
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+ positive_prompts:
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+ - "cybersecurity"
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+ - "information security"
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+ - "network security"
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+ - "hacking"
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+ - "encryption"
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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 = "openvoid/Proximus-2x7B"
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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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+ "<|im_start|>": 32001
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "mlabonne/NeuralHermes-2.5-Mistral-7B",
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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": 32000,
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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": "float16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": false,
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+ "vocab_size": 32002
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+ }
mergekit_moe_config.yml ADDED
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+
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+ base_model: mlabonne/NeuralHermes-2.5-Mistral-7B
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+ experts:
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+ - source_model: beowolx/MistralHermes-CodePro-7B-v1
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+ positive_prompts:
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+ - "code"
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+ - "python"
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+ - "javascript"
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+ - "programming"
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+ - "algorithm"
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+ - source_model: openvoid/prox-2.1-mistral-7b
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+ positive_prompts:
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+ - "cybersecurity"
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+ - "information security"
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+ - "network security"
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+ - "hacking"
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+ - "encryption"
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