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README.md

@@ -1,12 +1,8 @@
 ---
+license: apache-2.0
 tags:
 - merge
 - mergekit
-- lazymergekit
-- samir-fama/SamirGPT-v1
-- mlabonne/NeuralHermes-2.5-Mistral-7B
-- KoboldAI/Mistral-7B-Erebus-v3
-base_model:
 - samir-fama/SamirGPT-v1
 - mlabonne/NeuralHermes-2.5-Mistral-7B
 - KoboldAI/Mistral-7B-Erebus-v3
@@ -14,14 +10,14 @@ base_model:
 
 # ErebusNeuralSamir-7B-dare-ties
 
-ErebusNeuralSamir-7B-dare-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
-* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
-* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B)
-* [KoboldAI/Mistral-7B-Erebus-v3](https://huggingface.co/KoboldAI/Mistral-7B-Erebus-v3)
+ErebusNeuralSamir-7B-dare-ties is a merge of the following models using mergekit:
+* samir-fama/SamirGPT-v1
+* mlabonne/NeuralHermes-2.5-Mistral-7B
+* KoboldAI/Mistral-7B-Erebus-v3
 
 ## 🧩 Configuration
 
-```yaml
+\\\```yaml
 models:
   - model: mistralai/Mistral-7B-v0.1
     # No parameters necessary for base model
@@ -42,29 +38,5 @@ base_model: mistralai/Mistral-7B-v0.1
 parameters:
   int8_mask: true
 dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "stevez80/ErebusNeuralSamir-7B-dare-ties"
-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

@@ -0,0 +1,26 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "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": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

mergekit_config.yml

@@ -0,0 +1,22 @@
+
+models:
+  - model: mistralai/Mistral-7B-v0.1
+    # No parameters necessary for base model
+  - model: samir-fama/SamirGPT-v1
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: mlabonne/NeuralHermes-2.5-Mistral-7B
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: KoboldAI/Mistral-7B-Erebus-v3
+    parameters:
+      density: 0.53
+      weight: 0.4
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+

model.safetensors.index.json

@@ -0,0 +1 @@
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