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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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+ - mlabonne/NeuralBeagle14-7B
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+ - AdaptLLM/finance-chat
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+ - AdaptLLM/medicine-chat
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+ - AdaptLLM/law-chat
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+ ---
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+
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+ # AdaptLLM-4x7B-MoE
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+
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+ AdaptLLM-4x7B-MoE 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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+ * [mlabonne/NeuralBeagle14-7B](https://huggingface.co/mlabonne/NeuralBeagle14-7B)
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+ * [AdaptLLM/finance-chat](https://huggingface.co/AdaptLLM/finance-chat)
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+ * [AdaptLLM/medicine-chat](https://huggingface.co/AdaptLLM/medicine-chat)
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+ * [AdaptLLM/law-chat](https://huggingface.co/AdaptLLM/law-chat)
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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/NeuralBeagle14-7B
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+ experts:
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+ - source_model: mlabonne/NeuralBeagle14-7B
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+ positive_prompts:
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+ - "chat"
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+ - "assistant"
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+ - "tell me"
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+ - "explain"
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+ - "storywriting"
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+ - "write"
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+ - "scene"
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+ - "story"
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+ - "character"
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+ - "instruct"
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+ - "summarize"
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+ - "count"
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+
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+ - source_model: AdaptLLM/finance-chat
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+ positive_prompts:
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+ - "personal finance"
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+ - "budgeting"
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+ - "investing"
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+ - "retirement planning"
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+ - "debt management"
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+ - "financial education"
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+ - "consumer protection"
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+ - "financial"
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+ - "money"
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+ - "investment"
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+ - "banking"
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+ - "stock"
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+ - "bond"
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+ - "portfolio"
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+ - "risk"
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+ - "return"
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+
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+ - source_model: AdaptLLM/medicine-chat
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+ positive_prompts:
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+ - "diagnose"
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+ - "treat"
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+ - "disease"
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+ - "symptom"
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+ - "medication"
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+ - "anatomy"
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+ - "physiology"
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+ - "pharmacology"
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+ - "clinical trial"
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+ - "medical research"
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+
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+ - source_model: AdaptLLM/law-chat
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+ positive_prompts:
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+ - "law"
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+ - "legal"
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+ - "attorney"
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+ - "lawyer"
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+ - "court"
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+ - "contract"
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+ - "criminal"
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+ - "evidence"
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+ - "procedure"
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+ - "contracts"
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+ - "mergers & acquisitions"
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+ - "corporate governance"
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+ - "intellectual property"
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+ - "employment law"
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+ - "international trade"
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+ - "competition law"
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+ - "antitrust"
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+ - "litigation"
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+ - "arbitration"
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+ - "mediation"
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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 = "Isotonic/AdaptLLM-4x7B-MoE"
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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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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "mlabonne/NeuralBeagle14-7B",
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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": 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": 4,
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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": "4.37.2",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
mergekit_moe_config.yml ADDED
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+
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+ base_model: mlabonne/NeuralBeagle14-7B
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+ experts:
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+ - source_model: mlabonne/NeuralBeagle14-7B
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+ positive_prompts:
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+ - "chat"
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+ - "assistant"
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+ - "tell me"
9
+ - "explain"
10
+ - "storywriting"
11
+ - "write"
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+ - "scene"
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+ - "story"
14
+ - "character"
15
+ - "instruct"
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+ - "summarize"
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+ - "count"
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+
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+ - source_model: AdaptLLM/finance-chat
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+ positive_prompts:
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+ - "personal finance"
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+ - "budgeting"
23
+ - "investing"
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+ - "retirement planning"
25
+ - "debt management"
26
+ - "financial education"
27
+ - "consumer protection"
28
+ - "financial"
29
+ - "money"
30
+ - "investment"
31
+ - "banking"
32
+ - "stock"
33
+ - "bond"
34
+ - "portfolio"
35
+ - "risk"
36
+ - "return"
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+
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+ - source_model: AdaptLLM/medicine-chat
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+ positive_prompts:
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+ - "diagnose"
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+ - "treat"
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+ - "disease"
43
+ - "symptom"
44
+ - "medication"
45
+ - "anatomy"
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+ - "physiology"
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+ - "pharmacology"
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+ - "clinical trial"
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+ - "medical research"
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+
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+ - source_model: AdaptLLM/law-chat
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+ positive_prompts:
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+ - "law"
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+ - "legal"
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+ - "attorney"
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+ - "lawyer"
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+ - "court"
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+ - "contract"
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+ - "criminal"
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+ - "evidence"
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+ - "procedure"
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+ - "contracts"
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+ - "mergers & acquisitions"
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+ - "corporate governance"
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+ - "intellectual property"
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+ - "employment law"
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+ - "international trade"
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+ - "competition law"
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+ - "antitrust"
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+ - "litigation"
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+ - "arbitration"
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+ - "mediation"
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