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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,86 @@
+---
+base_model:
+- yamatazen/LorablatedStock-12B
+- yamatazen/EtherealAurora-12B-v2
+tags:
+- merge
+- mergekit
+- lazymergekit
+- yamatazen/LorablatedStock-12B
+- yamatazen/EtherealAurora-12B-v2
+---
+
+# KiloNovaSynth-12B
+
+KiloNovaSynth-12B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [yamatazen/LorablatedStock-12B](https://huggingface.co/yamatazen/LorablatedStock-12B)
+* [yamatazen/EtherealAurora-12B-v2](https://huggingface.co/yamatazen/EtherealAurora-12B-v2)
+
+## 🧩 Configuration
+
+```yaml
+merge_method: dare_ties
+base_model:
+  model: DreadPoor/Irix-12B-Model_Stock
+  name: Irix
+models:
+  - model: yamatazen/LorablatedStock-12B
+    name: Lorablated
+    parameters:
+      weight: 0.4
+      density: 0.7
+  - model: yamatazen/EtherealAurora-12B-v2
+    name: Aurora
+    parameters:
+      weight: 0.3
+      density: 0.6
+parameters:
+  normalize: true
+  int8_mask: true
+  anneal_factor: 0.2
+dtype: bfloat16
+
+layer_parameters:
+  - filter: "attn"
+    sources:
+      - model: Irix
+        weight: 0.8
+      - model: Aurora
+        weight: 0.15
+      - model: Lorablated
+        weight: 0.05
+  
+  - filter: "mlp"
+    sources:
+      - model: Lorablated
+        weight: 0.6
+      - model: Aurora
+        weight: 0.3
+      - model: Irix
+        weight: 0.1
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "Marcjoni/KiloNovaSynth-12B"
+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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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "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": "4.52.4",
+  "use_cache": false,
+  "vocab_size": 131072
+}

mergekit_config.yml

@@ -0,0 +1,40 @@
+
+merge_method: dare_ties
+base_model:
+  model: DreadPoor/Irix-12B-Model_Stock
+  name: Irix
+models:
+  - model: yamatazen/LorablatedStock-12B
+    name: Lorablated
+    parameters:
+      weight: 0.4
+      density: 0.7
+  - model: yamatazen/EtherealAurora-12B-v2
+    name: Aurora
+    parameters:
+      weight: 0.3
+      density: 0.6
+parameters:
+  normalize: true
+  int8_mask: true
+  anneal_factor: 0.2
+dtype: bfloat16
+
+layer_parameters:
+  - filter: "attn"
+    sources:
+      - model: Irix
+        weight: 0.8
+      - model: Aurora
+        weight: 0.15
+      - model: Lorablated
+        weight: 0.05
+  
+  - filter: "mlp"
+    sources:
+      - model: Lorablated
+        weight: 0.6
+      - model: Aurora
+        weight: 0.3
+      - model: Irix
+        weight: 0.1

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