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README.md

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+---
+tags:
+- merge
+- mergekit
+- lazymergekit
+- jdqwoi/TooManyMixRolePlay-7B-Story_V2
+- jdqwoi/TooManyMixRolePlay-7B-Story_V3
+base_model:
+- jdqwoi/TooManyMixRolePlay-7B-Story_V2
+- jdqwoi/TooManyMixRolePlay-7B-Story_V3
+---
+
+
+# EXL2 quants of [jdqwoi/TooManyMixRolePlay-7B-Story_V3.5](https://huggingface.co/jdqwoi/TooManyMixRolePlay-7B-Story_V3.5)
+
+[6.00 bits per weight](https://huggingface.co/kim512/TooManyMixRolePlay-7B-Story_V3.5-6.0bpw-h6-exl2)  
+[8.00 bits per weight](https://huggingface.co/kim512/TooManyMixRolePlay-7B-Story_V3.5-8.0bpw-h8-exl2)  
+
+Created using the defaults from exllamav2 0.1.3 convert.py  
+6.0bpw head bits = 6  
+8.0bpw head bits = 8  
+length = 8192  
+dataset rows = 200  
+measurement rows = 32  
+measurement length = 8192  
+
+# TooManyMixRolePlay-7B-Story_V3.5
+
+TooManyMixRolePlay-7B-Story_V3.5 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [jdqwoi/TooManyMixRolePlay-7B-Story_V2](https://huggingface.co/jdqwoi/TooManyMixRolePlay-7B-Story_V2)
+* [jdqwoi/TooManyMixRolePlay-7B-Story_V3](https://huggingface.co/jdqwoi/TooManyMixRolePlay-7B-Story_V3)
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: jdqwoi/TooManyMixRolePlay-7B-Story_V2
+        layer_range: [0, 32]
+      - model: jdqwoi/TooManyMixRolePlay-7B-Story_V3
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: jdqwoi/TooManyMixRolePlay-7B-Story_V2
+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 = "jdqwoi/TooManyMixRolePlay-7B-Story_V3.5"
+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": "jdqwoi/TooManyMixRolePlay-7B-Story_V2",
+    "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,
+    "pad_token_id": 2,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.41.1",
+    "unsloth_version": "2024.1",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.3",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 200,
+            "length": 8192,
+            "dataset": "(default)"
+        }
+    }
+}

mergekit_config.yml

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+
+slices:
+  - sources:
+      - model: jdqwoi/TooManyMixRolePlay-7B-Story_V2
+        layer_range: [0, 32]
+      - model: jdqwoi/TooManyMixRolePlay-7B-Story_V3
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: jdqwoi/TooManyMixRolePlay-7B-Story_V2
+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

model.safetensors.index.json

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