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README.md CHANGED
@@ -1,3 +1,51 @@
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  ---
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- license: apache-2.0
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ base_model:
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+ - PatentPilotAI/mistral-7b-patent-instruct-v2
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+ - Norquinal/Mistral-7B-claude-chat
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+
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  ---
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+ # merged
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [PatentPilotAI/mistral-7b-patent-instruct-v2](https://huggingface.co/PatentPilotAI/mistral-7b-patent-instruct-v2)
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+ * [Norquinal/Mistral-7B-claude-chat](https://huggingface.co/Norquinal/Mistral-7B-claude-chat)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model:
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+ model:
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+ path: Norquinal/Mistral-7B-claude-chat
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+ dtype: float16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: mlp
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+ value: [1.0, 0.5, 0.7, 0.3, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: PatentPilotAI/mistral-7b-patent-instruct-v2
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: Norquinal/Mistral-7B-claude-chat
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "Norquinal/Mistral-7B-claude-chat",
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+ "architectures": [
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+ "MistralForCausalLM"
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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": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.37.0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
mergekit_config.yml ADDED
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+ base_model:
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+ model:
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+ path: Norquinal/Mistral-7B-claude-chat
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+ dtype: float16
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+ merge_method: slerp
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+ parameters:
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+ t:
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+ - filter: mlp
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+ value: [1.0, 0.5, 0.7, 0.3, 0.0]
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+ - value: 0.5
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+ slices:
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+ - sources:
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: PatentPilotAI/mistral-7b-patent-instruct-v2
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+ - layer_range: [0, 32]
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+ model:
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+ model:
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+ path: Norquinal/Mistral-7B-claude-chat
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run_mistral_model.py ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+ import time
3
+
4
+ # Path to the local directory containing the Mistral model files
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+ model_path = "B:\Arcee\mergekit\merged\Patent"
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+
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+ # Load Mistral model and tokenizer
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+ model = AutoModelForCausalLM.from_pretrained(model_path)
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+ tokenizer = AutoTokenizer.from_pretrained(model_path)
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+
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+ # Function to generate response
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+ def generate_response(input_text):
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+ # Tokenize input text
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+ input_ids = tokenizer(input_text, return_tensors="pt").input_ids
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+
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+ start_time = time.time()
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+ # Generate response
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+ output = model.generate(input_ids, max_length=256, num_beams=5, temperature=0.7, top_p=0.95, early_stopping=True)
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+ end_time = time.time()
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+
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+ # Decode response
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+ response = tokenizer.decode(output[0], skip_special_tokens=True)
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+
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+ # Calculate time taken
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+ time_taken = end_time - start_time
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+
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+ return response, time_taken
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+
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+ # Main loop for chatting
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+ while True:
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+ user_input = input("You: ")
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+ if user_input.lower() == 'exit':
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+ print("Goodbye!")
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+ break
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+ response, time_taken = generate_response(user_input)
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+ print("Bot:", response)
37
+ print(f"Time taken: {time_taken:.2f} seconds")
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