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--- |
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language: |
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- en |
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license: apache-2.0 |
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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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base_model: |
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- unsloth/Mistral-Small-24B-Base-2501 |
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- unsloth/Mistral-Small-24B-Instruct-2501 |
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- trashpanda-org/MS-24B-Instruct-Mullein-v0 |
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- trashpanda-org/Llama3-24B-Mullein-v1 |
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- ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4 |
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- TheDrummer/Cydonia-24B-v2 |
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- estrogen/MS2501-24b-Ink-apollo-ep2 |
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- huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated |
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- ToastyPigeon/ms3-roselily-rp-v2 |
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- PocketDoc/Dans-DangerousWinds-V1.1.1-24b |
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- ReadyArt/Forgotten-Safeword-24B-V2.2 |
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- PocketDoc/Dans-PersonalityEngine-V1.2.0-24b |
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- Undi95/MistralThinker-e2 |
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- lemonilia/Mistral-Small-3-Reasoner-s1 |
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- arcee-ai/Arcee-Blitz |
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- SicariusSicariiStuff/Redemption_Wind_24B |
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--- |
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*** |
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## Tantum |
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>Everything is edible if you are brave enough |
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### Overview |
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It's kind of hard to judge a 24B model after using a 70B for a while. From some tests, I think it might be better than my ms-22B and qwen-32B merges. |
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It has some prose, some character adherence, and... `<think>` tags! It will consistently think if you add `<think>` tag as prefill, tho I think it will obviously not think as well as an actual thinking model distill. |
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People also like RP-Whole(RP-Broth). You can find it [here](https://huggingface.co/d-rang-d/MS3-RP-Broth-24B) |
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**Settings:** |
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Samplers: [Weird preset](https://files.catbox.moe/ccwmca.json) | [Forgotten-Safeword preset](https://huggingface.co/sleepdeprived3/Mistral-V7-Tekken-Extra-Dry) |
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Prompt format: Mistral-V7 (?) |
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ChatML and Llama3 give better results imo. In the case of ChatML, there are Dans-PersonalityEngine and Redemption-Wind models that have been trained on it. But Llama3? No clue. |
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I use [this](https://files.catbox.moe/daluze.json) lorebook for all chats instead of a system prompt for mistal models. |
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### Quants |
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[Static](https://huggingface.co/mradermacher/MS3-Tantum-24B-v0.1-GGUF) | [Imatrix](https://huggingface.co/mradermacher/MS3-Tantum-24B-v0.1-i1-GGUF) |
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*** |
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## Merge Details |
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### Merging steps |
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## MS3-test-Merge-1 |
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```yaml |
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models: |
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- model: unsloth/Mistral-Small-24B-Base-2501 |
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- model: unsloth/Mistral-Small-24B-Instruct-2501+ToastyPigeon/new-ms-rp-test-ws |
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parameters: |
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select_topk: |
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- value: [0.05, 0.03, 0.02, 0.02, 0.01] |
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- model: unsloth/Mistral-Small-24B-Instruct-2501+estrogen/MS2501-24b-Ink-ep2-adpt |
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parameters: |
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select_topk: 0.1 |
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- model: trashpanda-org/MS-24B-Instruct-Mullein-v0 |
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parameters: |
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select_topk: 0.4 |
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base_model: unsloth/Mistral-Small-24B-Base-2501 |
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merge_method: sce |
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parameters: |
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int8_mask: true |
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rescale: true |
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normalize: true |
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dtype: bfloat16 |
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tokenizer_source: base |
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``` |
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```yaml |
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dtype: bfloat16 |
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tokenizer_source: base |
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merge_method: della_linear |
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parameters: |
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density: 0.55 |
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base_model: Step1 |
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models: |
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- model: unsloth/Mistral-Small-24B-Instruct-2501 |
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parameters: |
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weight: |
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- filter: v_proj |
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value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0] |
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- filter: o_proj |
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value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1] |
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- filter: up_proj |
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value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
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- filter: gate_proj |
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value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0] |
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- filter: down_proj |
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value: [1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0] |
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- value: 0 |
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- model: Step1 |
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parameters: |
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weight: |
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- filter: v_proj |
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value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1] |
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- filter: o_proj |
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value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0] |
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- filter: up_proj |
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value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] |
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- filter: gate_proj |
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value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1] |
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- filter: down_proj |
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value: [0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1] |
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- value: 1 |
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``` |
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Some early MS3 merge. Not really worth using on its own. Just added it for fun. |
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## RP-half1 |
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```yaml |
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models: |
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- model: ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4 |
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parameters: |
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weight: 0.2 |
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density: 0.7 |
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- model: trashpanda-org/Llama3-24B-Mullein-v1 |
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parameters: |
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weight: 0.2 |
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density: 0.7 |
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- model: TheDrummer/Cydonia-24B-v2 |
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parameters: |
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weight: 0.2 |
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density: 0.7 |
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merge_method: della_linear |
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base_model: Nohobby/MS3-test-Merge-1 |
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parameters: |
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epsilon: 0.2 |
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lambda: 1.1 |
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dtype: bfloat16 |
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tokenizer: |
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source: base |
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``` |
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## RP-half2 |
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```yaml |
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base_model: Nohobby/MS3-test-Merge-1 |
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parameters: |
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epsilon: 0.05 |
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lambda: 0.9 |
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int8_mask: true |
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rescale: true |
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normalize: false |
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dtype: bfloat16 |
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tokenizer: |
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source: base |
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merge_method: della |
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models: |
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- model: estrogen/MS2501-24b-Ink-apollo-ep2 |
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parameters: |
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weight: [0.1, -0.01, 0.1, -0.02, 0.1] |
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density: [0.6, 0.4, 0.5, 0.4, 0.6] |
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- model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated |
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parameters: |
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weight: [0.02, -0.01, 0.02, -0.02, 0.01] |
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density: [0.45, 0.55, 0.45, 0.55, 0.45] |
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- model: ToastyPigeon/ms3-roselily-rp-v2 |
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parameters: |
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weight: [0.01, -0.02, 0.02, -0.025, 0.01] |
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density: [0.45, 0.65, 0.45, 0.65, 0.45] |
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- model: PocketDoc/Dans-DangerousWinds-V1.1.1-24b |
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parameters: |
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weight: [0.1, -0.01, 0.1, -0.02, 0.1] |
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density: [0.6, 0.4, 0.5, 0.4, 0.6] |
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``` |
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## RP-whole |
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```yaml |
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base_model: ReadyArt/Forgotten-Safeword-24B-V2.2 |
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merge_method: model_stock |
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dtype: bfloat16 |
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models: |
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- model: mergekit-community/MS3-RP-half1 |
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- model: mergekit-community/MS3-RP-RP-half2 |
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``` |
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## INT |
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```yaml |
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merge_method: della_linear |
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dtype: bfloat16 |
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parameters: |
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normalize: true |
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int8_mask: true |
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tokenizer: |
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source: base |
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base_model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b |
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models: |
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- model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b |
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parameters: |
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density: 0.55 |
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weight: 1 |
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- model: Undi95/MistralThinker-e2 |
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parameters: |
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density: 0.55 |
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weight: 1 |
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- model: d-rang-d/ignore_MS3-Reasoner-mergekit |
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parameters: |
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density: 0.55 |
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weight: 1 |
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- model: arcee-ai/Arcee-Blitz |
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parameters: |
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density: 0.55 |
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weight: 1 |
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``` |
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## Tantumv00 |
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```yaml |
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output_base_model: "SicariusSicariiStuff/Redemption_Wind_24B" |
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output_dtype: "bfloat16" |
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finetune_merge: |
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- { "model": "mergekit-community/MS3-INT", "base": "unsloth/Mistral-Small-24B-Instruct-2501", "alpha": 1.0, "is_input": true } |
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- { "model": "mergekit-community/MS-RP-whole", "base": "unsloth/Mistral-Small-24B-Instruct-2501", "alpha": 0.7, "is_output": true } |
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output_dir: "output_model" |
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device: "cpu" |
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clean_cache: false |
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cache_dir: "cache" |
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storage_dir: "storage" |
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``` |
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Doesn't look like a mergekit recipe, right? Well, it's not. It's for a standalone merge tool: https://github.com/54rt1n/shardmerge |
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If you want to use it for something non-qwen you can replace index.py with [this](https://files.catbox.moe/bgxmuz.py) and writer.py with [that](https://files.catbox.moe/ewww39.py). A much better solution is possible, ofc, but I'm a dumdum and can't code. The creator knows about this issue and will fix it... Someday, I guess. |
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You also need to know that this thing is *really* slow, and it took me 5 hours to cram 3 24B models together. |
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## Tantumv01 |
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```yaml |
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dtype: bfloat16 |
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tokenizer: |
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source: unsloth/Mistral-Small-24B-Instruct-2501 |
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merge_method: della_linear |
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parameters: |
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density: 0.55 |
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base_model: d-rang-d/MS3-megamerge |
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models: |
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- model: unsloth/Mistral-Small-24B-Instruct-2501 |
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parameters: |
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weight: |
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- filter: v_proj |
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value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0] |
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- filter: o_proj |
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value: [1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1] |
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- filter: up_proj |
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value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
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- filter: gate_proj |
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value: [0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0] |
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- filter: down_proj |
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value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] |
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- value: 0 |
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- model: d-rang-d/MS3-megamerge |
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parameters: |
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weight: |
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- filter: v_proj |
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value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1] |
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- filter: o_proj |
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value: [0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0] |
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- filter: up_proj |
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value: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] |
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- filter: gate_proj |
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value: [1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1] |
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- filter: down_proj |
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value: [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
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- value: 1 |
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``` |
