Add wegith files

Signed-off-by: linke <linke@pplabs.org>

README.md

@@ -1,3 +1,55 @@
----
-license: mit
----
+---
+base_model:
+- nothingiisreal/MN-12B-Celeste-V1.9
+- intervitens/mini-magnum-12b-v1.1
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+---
+# MN-12B-Starcannon-v2
+
+> A star and a gun is all you need
+
+It's a bit magnum-esque but more creative with less Claude slop also higher in verbosity. Try and find out lol.
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+<br><br>
+[Dynamic FP8](https://huggingface.co/aetherwiing/MN-12B-Starcannon-v2-fp8-dynamic) <br>
+[Static GGUF (by Mradermacher)](https://huggingface.co/mradermacher/MN-12B-Starcannon-v2-GGUF) <br>
+[EXL2 (by kingbri of RoyalLab)](https://huggingface.co/royallab/MN-12B-Starcannon-v2-exl2)
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) as a base.
+
+### Merge fodder
+
+The following models were included in the merge:
+* [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9)
+* [intervitens/mini-magnum-12b-v1.1](https://huggingface.co/intervitens/mini-magnum-12b-v1.1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+    - model: intervitens/mini-magnum-12b-v1.1
+      parameters:
+        density: 0.3
+        weight: 0.5
+    - model: nothingiisreal/MN-12B-Celeste-V1.9
+      parameters:
+        density: 0.7
+        weight: 0.5
+
+merge_method: ties
+base_model: nothingiisreal/MN-12B-Celeste-V1.9
+parameters:
+    normalize: true
+    int8_mask: true
+dtype: bfloat16
+
+```

config.json

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+{
+  "_name_or_path": "nothingiisreal/MN-12B-Celeste-V1.9",
+  "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": "4.43.3",
+  "use_cache": false,
+  "vocab_size": 131072
+}

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