Add RoleBeagle-Moistral-11B-v2-8.0bpw-h8-exl2

.gitattributes

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+output-00001-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text
+output-00002-of-00002.safetensors filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: []
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# output-model-directory
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* ./models/Moistral-11B-v2
+* ./models/RoleBeagle-11B
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: ./models/Moistral-11B-v2
+  - model: ./models/RoleBeagle-11B
+merge_method: slerp
+base_model: ./models/Moistral-11B-v2
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.7, 0.5, 0.8, 1]  # Increased influence of Moistral model
+    - filter: mlp
+      value: [1, 0.3, 0.5, 0.2, 0]  # Decreased influence of RoleBeagle model
+    - value: 0.7  # Increased fallback value for rest of tensors
+dtype: float16
+```

config.json

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+{
+    "_name_or_path": "./models/Moistral-11B-v2",
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "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": 8192,
+    "model_type": "llama",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 48,
+    "num_key_value_heads": 8,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000.0,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float16",
+    "transformers_version": "4.39.1",
+    "use_cache": false,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.15",
+        "bits": 8.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 100,
+            "length": 4096,
+            "dataset": "pippa.parquet"
+        }
+    }
+}

mergekit_config.yml

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+models:
+  - model: ./models/Moistral-11B-v2
+  - model: ./models/RoleBeagle-11B
+merge_method: slerp
+base_model: ./models/Moistral-11B-v2
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.7, 0.5, 0.8, 1]  # Increased influence of Moistral model
+    - filter: mlp
+      value: [1, 0.3, 0.5, 0.2, 0]  # Decreased influence of RoleBeagle model
+    - value: 0.7  # Increased fallback value for rest of tensors
+dtype: float16

model.safetensors.index.json

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output-00002-of-00002.safetensors

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special_tokens_map.json

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+{
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tokenizer_config.json

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+{
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+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
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+      "special": true
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+  "use_default_system_prompt": true,
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+}