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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- CultriX/NeuralTrix-7B-dpo
+- paulml/DPOB-INMTOB-7B
+base_model:
+- CultriX/NeuralTrix-7B-dpo
+- paulml/DPOB-INMTOB-7B
+---
+
+# djinn
+
+djinn is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [CultriX/NeuralTrix-7B-dpo](https://huggingface.co/CultriX/NeuralTrix-7B-dpo)
+* [paulml/DPOB-INMTOB-7B](https://huggingface.co/paulml/DPOB-INMTOB-7B)
+
+## 🧩 Configuration
+
+```yaml
+merge_method: linear
+parameters:
+  weight: 1.0 
+slices:
+  - sources:
+      - model: CultriX/NeuralTrix-7B-dpo # embed_tokens comes along with the ride with whatever is the first layer
+        layer_range: [0, 1]
+      - model: paulml/DPOB-INMTOB-7B # add dummy second model with 0 weight so tokenizer-based merge routine is invoked for embed_tokens
+        layer_range: [0, 1]
+        parameters:
+          weight: 0
+  - sources:
+      - model: cognitivecomputations/dolphin-2.1-mistral-7b
+        layer_range: [0, 8]
+  - sources:
+      - model: bardsai/jaskier-7b-dpo-v5.6
+        layer_range: [8, 16]
+  - sources:
+      - model: paulml/OGNO-7B
+        layer_range: [16, 24]
+  - sources:
+      - model: argilla/distilabeled-OpenHermes-2.5-Mistral-7B
+        layer_range: [24, 31]
+  - sources: # same as above, but for lm_head with the last layer
+      - model: CultriX/NeuralTrix-7B-dpo
+        layer_range: [31, 32]
+      - model: paulml/DPOB-INMTOB-7B
+        layer_range: [31, 32]
+        parameters:
+          weight: 0
+dtype: float16
+tokenizer_source: model:cognitivecomputations/dolphin-2.1-mistral-7b
+
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mayacinka/djinn"
+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"])
+```

added_tokens.json

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+{
+  "<|im_end|>": 32000,
+  "<|im_start|>": 32001
+}

config.json

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+{
+  "_name_or_path": "bardsai/jaskier-7b-dpo-v5.6",
+  "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": 33,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 32002
+}

mergekit_config.yml

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+
+merge_method: linear
+parameters:
+  weight: 1.0 
+slices:
+  - sources:
+      - model: CultriX/NeuralTrix-7B-dpo # embed_tokens comes along with the ride with whatever is the first layer
+        layer_range: [0, 1]
+      - model: paulml/DPOB-INMTOB-7B # add dummy second model with 0 weight so tokenizer-based merge routine is invoked for embed_tokens
+        layer_range: [0, 1]
+        parameters:
+          weight: 0
+  - sources:
+      - model: cognitivecomputations/dolphin-2.1-mistral-7b
+        layer_range: [0, 8]
+  - sources:
+      - model: bardsai/jaskier-7b-dpo-v5.6
+        layer_range: [8, 16]
+  - sources:
+      - model: paulml/OGNO-7B
+        layer_range: [16, 24]
+  - sources:
+      - model: argilla/distilabeled-OpenHermes-2.5-Mistral-7B
+        layer_range: [24, 31]
+  - sources: # same as above, but for lm_head with the last layer
+      - model: CultriX/NeuralTrix-7B-dpo
+        layer_range: [31, 32]
+      - model: paulml/DPOB-INMTOB-7B
+        layer_range: [31, 32]
+        parameters:
+          weight: 0
+dtype: float16
+tokenizer_source: model:cognitivecomputations/dolphin-2.1-mistral-7b
+

model-00001-of-00002.safetensors

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special_tokens_map.json

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tokenizer.model

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tokenizer_config.json

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