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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- lodrick-the-lafted/Hermes-Instruct-7B-100K
+- Kukedlc/NeuralMaths-7B-slerp
+base_model:
+- lodrick-the-lafted/Hermes-Instruct-7B-100K
+- Kukedlc/NeuralMaths-7B-slerp
+---
+
+# NeuralMaths-lafted-7b-slerp
+
+NeuralMaths-lafted-7b-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [lodrick-the-lafted/Hermes-Instruct-7B-100K](https://huggingface.co/lodrick-the-lafted/Hermes-Instruct-7B-100K)
+* [Kukedlc/NeuralMaths-7B-slerp](https://huggingface.co/Kukedlc/NeuralMaths-7B-slerp)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: lodrick-the-lafted/Hermes-Instruct-7B-100K
+        layer_range: [0, 32]
+      - model: Kukedlc/NeuralMaths-7B-slerp
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: lodrick-the-lafted/Hermes-Instruct-7B-100K
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mvpmaster/NeuralMaths-lafted-7b-slerp"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```

config.json

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+{
+  "_name_or_path": "lodrick-the-lafted/Hermes-Instruct-7B-100K",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: lodrick-the-lafted/Hermes-Instruct-7B-100K
+        layer_range: [0, 32]
+      - model: Kukedlc/NeuralMaths-7B-slerp
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: lodrick-the-lafted/Hermes-Instruct-7B-100K
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16

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special_tokens_map.json

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tokenizer_config.json

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+      "single_word": false,
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+  "chat_template": "{%- set ns = namespace(found=false) -%}{%- for message in messages -%}{%- if message['role'] == 'system' -%}{%- set ns.found = true -%}{%- endif -%}{%- endfor -%}{%- if not ns.found -%}{{- '' + 'Below is an instruction that describes a task. Write a response that appropriately completes the request.' + '\n\n' -}}{%- endif %}{%- for message in messages %}{%- if message['role'] == 'system' -%}{{- '' + message['content'] + '\n\n' -}}{%- else -%}{%- if message['role'] == 'user' -%}{{-'### Instruction:\n' + message['content'] + '\n\n'-}}{%- else -%}{{-'### Response:\n' + message['content'] + '\n\n' -}}{%- endif -%}{%- endif -%}{%- endfor -%}{%- if add_generation_prompt -%}{{-'### Response:\n'-}}{%- endif -%}",
+  "clean_up_tokenization_spaces": false,
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