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README.md ADDED
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+ ---
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+ tags:
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+ - merge
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+ - mergekit
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+ - lazymergekit
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+ - Eric111/Mayo
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+ - NousResearch/Hermes-2-Pro-Mistral-7B
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+ - mistralai/Mistral-7B-Instruct-v0.2
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+ - NousResearch/Yarn-Mistral-7b-128k
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+ - Kukedlc/MyModelsMerge-7b
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+ base_model:
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+ - Eric111/Mayo
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+ - NousResearch/Hermes-2-Pro-Mistral-7B
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+ - mistralai/Mistral-7B-Instruct-v0.2
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+ - NousResearch/Yarn-Mistral-7b-128k
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+ - Kukedlc/MyModelsMerge-7b
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+ ---
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+
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+ # NeuralContext-7b
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+
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+ NeuralContext-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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+ * [Eric111/Mayo](https://huggingface.co/Eric111/Mayo)
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+ * [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)
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+ * [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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+ * [NousResearch/Yarn-Mistral-7b-128k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)
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+ * [Kukedlc/MyModelsMerge-7b](https://huggingface.co/Kukedlc/MyModelsMerge-7b)
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+
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+ ## 🧩 Configuration
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+
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+ ```yaml
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+ models:
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+ - model: NousResearch/Yarn-Mistral-7b-128k
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+ # No parameters necessary for base model
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+ - model: Eric111/Mayo
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+ parameters:
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+ density: 0.33
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+ weight: 0.2
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+ - model: NousResearch/Hermes-2-Pro-Mistral-7B
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+ parameters:
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+ density: 0.66
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+ weight: 0.2
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+ - model: mistralai/Mistral-7B-Instruct-v0.2
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+ parameters:
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+ density: 0.66
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+ weight: 0.2
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+ - model: NousResearch/Yarn-Mistral-7b-128k
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+ parameters:
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+ density: 0.66
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+ weight: 0.2
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+ - model: Kukedlc/MyModelsMerge-7b
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+ parameters:
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+ density: 0.55
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+ weight: 0.2
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+ merge_method: dare_ties
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+ base_model: NousResearch/Yarn-Mistral-7b-128k
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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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 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 = "Kukedlc/NeuralContext-7b"
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+ messages = [{"role": "user", "content": "What is a large language model?"}]
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+
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+ tokenizer = AutoTokenizer.from_pretrained(model)
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+ prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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+ pipeline = transformers.pipeline(
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+ "text-generation",
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+ model=model,
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+ torch_dtype=torch.float16,
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+ device_map="auto",
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+ )
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+
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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": "NousResearch/Yarn-Mistral-7b-128k",
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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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+ "auto_map": {
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+ "AutoConfig": "NousResearch/Yarn-Mistral-7b-128k--configuration_mistral.MistralConfig",
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+ "AutoModelForCausalLM": "NousResearch/Yarn-Mistral-7b-128k--modeling_mistral_yarn.MistralForCausalLM"
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+ },
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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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+ "max_sequence_length": 131072,
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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_scaling": {
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+ "factor": 16.0,
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+ "finetuned": true,
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+ "original_max_position_embeddings": 8192,
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+ "type": "yarn"
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+ },
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+ "rope_theta": 10000.0,
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+ "sliding_window": 131072,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.2",
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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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+
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+ models:
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+ - model: NousResearch/Yarn-Mistral-7b-128k
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+ # No parameters necessary for base model
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+ - model: Eric111/Mayo
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+ parameters:
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+ density: 0.33
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+ weight: 0.2
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+ - model: NousResearch/Hermes-2-Pro-Mistral-7B
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+ parameters:
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+ density: 0.66
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+ weight: 0.2
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+ - model: mistralai/Mistral-7B-Instruct-v0.2
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+ parameters:
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+ density: 0.66
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+ weight: 0.2
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+ - model: NousResearch/Yarn-Mistral-7b-128k
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+ parameters:
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+ density: 0.66
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+ weight: 0.2
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+ - model: Kukedlc/MyModelsMerge-7b
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+ parameters:
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+ density: 0.55
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+ weight: 0.2
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+ merge_method: dare_ties
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+ base_model: NousResearch/Yarn-Mistral-7b-128k
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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