Text Generation
Transformers
Safetensors
mistral
mergekit
Merge
conversational
text-generation-inference
Instructions to use Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen") model = AutoModelForCausalLM.from_pretrained("Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen
- SGLang
How to use Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen with Docker Model Runner:
docker model run hf.co/Kaoeiri/MS-MagpantheonselRP-22B-14.95-Omen
File size: 5,124 Bytes
d6687e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 | ---
base_model:
- invisietch/MiS-Firefly-v0.2-22B
- Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8
- Darkknight535/MS-Moonlight-22B-v3
- TheDrummer/Cydonia-22B-v1.3
- anthracite-org/magnum-v4-22b
- DigitalSouls/BlackSheep-DigitalSoul-22B
- Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
- crestf411/MS-sunfall-v0.7.0
- qingy2024/MwM-22B-Instruct
- Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
- Kaoeiri/MS-Inky-2409-22B
- InferenceIllusionist/SorcererLM-22B
- Kaoeiri/MS_a-coolyte-2409-22B
- allura-org/MS-Meadowlark-22B
- Kaoeiri/MS_fujin-2409-22B
- ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
- unsloth/Mistral-Small-Instruct-2409
- Kaoeiri/MS_Moingooistral-2409-22B
- Envoid/Mistral-Small-NovusKyver
library_name: transformers
tags:
- mergekit
- merge
---
# merge
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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Mistral-Small-Instruct-2409](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) as a base.
### Models Merged
The following models were included in the merge:
* [invisietch/MiS-Firefly-v0.2-22B](https://huggingface.co/invisietch/MiS-Firefly-v0.2-22B)
* [Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8](https://huggingface.co/Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8)
* [Darkknight535/MS-Moonlight-22B-v3](https://huggingface.co/Darkknight535/MS-Moonlight-22B-v3)
* [TheDrummer/Cydonia-22B-v1.3](https://huggingface.co/TheDrummer/Cydonia-22B-v1.3)
* [anthracite-org/magnum-v4-22b](https://huggingface.co/anthracite-org/magnum-v4-22b)
* [DigitalSouls/BlackSheep-DigitalSoul-22B](https://huggingface.co/DigitalSouls/BlackSheep-DigitalSoul-22B)
* [Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small](https://huggingface.co/Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small)
* [crestf411/MS-sunfall-v0.7.0](https://huggingface.co/crestf411/MS-sunfall-v0.7.0)
* [qingy2024/MwM-22B-Instruct](https://huggingface.co/qingy2024/MwM-22B-Instruct)
* [Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B](https://huggingface.co/Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B)
* [Kaoeiri/MS-Inky-2409-22B](https://huggingface.co/Kaoeiri/MS-Inky-2409-22B)
* [InferenceIllusionist/SorcererLM-22B](https://huggingface.co/InferenceIllusionist/SorcererLM-22B)
* [Kaoeiri/MS_a-coolyte-2409-22B](https://huggingface.co/Kaoeiri/MS_a-coolyte-2409-22B)
* [allura-org/MS-Meadowlark-22B](https://huggingface.co/allura-org/MS-Meadowlark-22B)
* [Kaoeiri/MS_fujin-2409-22B](https://huggingface.co/Kaoeiri/MS_fujin-2409-22B)
* [ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1)
* [Kaoeiri/MS_Moingooistral-2409-22B](https://huggingface.co/Kaoeiri/MS_Moingooistral-2409-22B)
* [Envoid/Mistral-Small-NovusKyver](https://huggingface.co/Envoid/Mistral-Small-NovusKyver)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
# Obedience and Strong Replies
- model: qingy2024/MwM-22B-Instruct
parameters:
weight: 1.2
density: 0.8
- model: DigitalSouls/BlackSheep-DigitalSoul-22B
parameters:
weight: 0.8
density: 0.85
- model: ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1
parameters:
weight: 0.7
density: 0.85
# RP and Storytelling
- model: Kaoeiri/MS-Magpantheonsel-lark-v4x1.6.2RP-Cydonia-vXXX-22B-8
parameters:
weight: 0.68
density: 0.75
- model: TheDrummer/Cydonia-22B-v1.3
parameters:
weight: 0.33
density: 0.7
- model: Gryphe/Pantheon-RP-Pure-1.6.2-22b-Small
parameters:
weight: 0.5
density: 0.7
# Background and Additional Features
- model: Darkknight535/MS-Moonlight-22B-v3
parameters:
weight: 0.3
density: 0.7
- model: InferenceIllusionist/SorcererLM-22B
parameters:
weight: 0.34
density: 0.7
- model: Envoid/Mistral-Small-NovusKyver
parameters:
weight: 0.3
density: 0.7
- model: crestf411/MS-sunfall-v0.7.0
parameters:
weight: 0.4
density: 0.75
- model: Kaoeiri/MS_a-coolyte-2409-22B
parameters:
weight: 0.32
density: 0.7
- model: invisietch/MiS-Firefly-v0.2-22B
parameters:
weight: 0.34
density: 0.7
- model: Kaoeiri/MS_fujin-2409-22B
parameters:
weight: 0.3
density: 0.7
- model: anthracite-org/magnum-v4-22b
parameters:
weight: 0.56
density: 0.7
- model: allura-org/MS-Meadowlark-22B
parameters:
weight: 0.35
density: 0.7
- model: Saxo/Linkbricks-Horizon-AI-Korean-Superb-22B
parameters:
weight: 0.3
density: 0.7
- model: Kaoeiri/MS_Moingooistral-2409-22B
parameters:
weight: 0.3
density: 0.7
- model: Kaoeiri/MS-Inky-2409-22B
parameters:
weight: 0.3
density: 0.7
merge_method: dare_ties
base_model: unsloth/Mistral-Small-Instruct-2409
parameters:
density: 0.90
epsilon: 0.08
lambda: 1.18
normalize: true
dtype: bfloat16
```
|