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README.md ADDED
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+ ---
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+ base_model:
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+ - unsloth/Mistral-Small-Instruct-2409
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+ library_name: transformers
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+ tags:
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+ - mergekit
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+ - merge
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+ license: other
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+ license_name: mrl
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+ license_link: https://mistral.ai/licenses/MRL-0.1.md
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+
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+ ---
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+ # MS-Meadowlark-22B
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+ <figure>
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+ <img src="https://huggingface.co/ToastyPigeon/MS-Meadowlark-22B/resolve/main/00036-141420187-3.png" width="750">
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+ <figcaption>Big thanks to @inflatebot for the image.</figcaption>
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+ </figure>
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+ A roleplay and storywriting model based on Mistral Small 22B.
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+
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+ GGUF models: https://huggingface.co/mradermacher/MS-Meadowlark-22B-GGUF/
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+
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+ EXL2 models: https://huggingface.co/CalamitousFelicitousness/MS-Meadowlark-22B-exl2
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+
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+ Datasets used in this model:
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+ - [Dampfinchen/Creative_Writing_Multiturn](https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn) at 16k
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+ - [Fizzarolli/rosier-dataset](https://huggingface.co/datasets/Fizzarolli/rosier-dataset) + [Alfitaria/body-inflation-org](https://huggingface.co/datasets/Alfitaria/body-inflation-org) at 16k
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+ - [ToastyPigeon/SpringDragon](https://huggingface.co/datasets/ToastyPigeon/SpringDragon) at 8k
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+
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+ 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.
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+
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+ 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.
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+
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+ # Instruct Format
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+ 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.
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+
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+ Creative_Writing_Multiturn and Gutenberg-Doppel were trained using the official instruct format of Mistral Small Instruct:
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+ ```
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+ <s>[INST] {User message}[/INST] {Assistant response}</s>
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+ ```
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+ This is the Mistral Small V2&V3 preset in SillyTavern and Kobold Lite.
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+
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+ 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 ADDED
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+ {
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+ "_name_or_path": "unsloth/Mistral-Small-Instruct-2409",
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "head_dim": 128,
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+ "hidden_act": "silu",
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+ "hidden_size": 6144,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 16384,
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+ "max_position_embeddings": 131072,
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+ "model_type": "mistral",
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+ "num_attention_heads": 48,
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+ "num_hidden_layers": 56,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.43.3",
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+ "use_cache": true,
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+ "vocab_size": 32768,
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+ "quantization_config": {
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+ "quant_method": "exl2",
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+ "version": "0.2.3",
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+ "bits": 4.0,
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+ "head_bits": 6,
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+ "calibration": {
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+ "rows": 115,
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+ "length": 2048,
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+ "dataset": "(default)"
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+ }
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+ }
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+ }
huggingface-metadata.txt ADDED
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+ url: https://huggingface.co/allura-org/MS-Meadowlark-22B
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+ branch: main
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+ download date: 2024-11-19 09:20:35
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+ sha256sum:
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