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README.md

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+---
+base_model:
+- unsloth/Mistral-Small-Instruct-2409
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: other
+license_name: mrl
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+
+---
+# MS-Meadowlark-22B
+<figure>
+  <img src="https://huggingface.co/ToastyPigeon/MS-Meadowlark-22B/resolve/main/00036-141420187-3.png" width="750">
+  <figcaption>Big thanks to @inflatebot for the image.</figcaption>
+</figure>
+A roleplay and storywriting model based on Mistral Small 22B. 
+
+GGUF models: https://huggingface.co/mradermacher/MS-Meadowlark-22B-GGUF/ 
+
+EXL2 models: https://huggingface.co/CalamitousFelicitousness/MS-Meadowlark-22B-exl2
+
+Datasets used in this model:
+- [Dampfinchen/Creative_Writing_Multiturn](https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn) at 16k
+- [Fizzarolli/rosier-dataset](https://huggingface.co/datasets/Fizzarolli/rosier-dataset) + [Alfitaria/body-inflation-org](https://huggingface.co/datasets/Alfitaria/body-inflation-org) at 16k
+- [ToastyPigeon/SpringDragon](https://huggingface.co/datasets/ToastyPigeon/SpringDragon) at 8k
+
+Each dataset was trained separately onto Mistral Small Instruct, and then the component models were merged along with [nbeerbower/Mistral-Small-Gutenberg-Doppel-22B](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B) to create Meadowlark. 
+
+I tried different blends of the component models, and this one seems to be the most stable while retaining creativity and unpredictability added by the trained data. 
+
+# Instruct Format
+Rosier/bodyinf and SpringDragon were trained in completion format. This model should work with [Kobold Lite](https://lite.koboldai.net/) in Adventure Mode and Story Mode. 
+
+Creative_Writing_Multiturn and Gutenberg-Doppel were trained using the official instruct format of Mistral Small Instruct:
+```
+<s>[INST] {User message}[/INST] {Assistant response}</s>
+```
+This is the Mistral Small V2&V3 preset in SillyTavern and Kobold Lite. 
+
+For SillyTavern in particular I've had better luck getting good output from Mistral Small using a [custom instruct template](https://huggingface.co/ToastyPigeon/ST-Presets-Mistral-Small) that formats the assembled context as a single user turn. This prevents SillyTavern from confusing the model by assembling user/assistant turns in a nonstandard way. Note: This preset is *not* compatible with Stepped Thinking, use the Mistral V2&V3 preset for that.

config.json

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+{
+    "_name_or_path": "unsloth/Mistral-Small-Instruct-2409",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 6144,
+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "max_position_embeddings": 131072,
+    "model_type": "mistral",
+    "num_attention_heads": 48,
+    "num_hidden_layers": 56,
+    "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": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.2.3",
+        "bits": 6.0,
+        "head_bits": 8,
+        "calibration": {
+            "rows": 115,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

huggingface-metadata.txt

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+url: https://huggingface.co/allura-org/MS-Meadowlark-22B
+branch: main
+download date: 2024-11-19 09:20:35
+sha256sum:
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model.safetensors.index.json

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