Text Generation
Transformers
Safetensors
English
Bengali
mistral
Merge
mergekit
lazymergekit
sillytavern
roleplay
rp
math
coding
12b
text-generation-inference
Instructions to use kainatq/RP-king-12b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kainatq/RP-king-12b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="kainatq/RP-king-12b")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("kainatq/RP-king-12b") model = AutoModelForMultimodalLM.from_pretrained("kainatq/RP-king-12b") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use kainatq/RP-king-12b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "kainatq/RP-king-12b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kainatq/RP-king-12b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/kainatq/RP-king-12b
- SGLang
How to use kainatq/RP-king-12b 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 "kainatq/RP-king-12b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kainatq/RP-king-12b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "kainatq/RP-king-12b" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "kainatq/RP-king-12b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use kainatq/RP-king-12b with Docker Model Runner:
docker model run hf.co/kainatq/RP-king-12b
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +53 -0
- config.json +26 -0
- mergekit_config.yml +27 -0
- model-00001-of-00025.safetensors +3 -0
- model-00002-of-00025.safetensors +3 -0
- model-00003-of-00025.safetensors +3 -0
- model-00004-of-00025.safetensors +3 -0
- model-00005-of-00025.safetensors +3 -0
- model-00006-of-00025.safetensors +3 -0
- model-00007-of-00025.safetensors +3 -0
- model-00008-of-00025.safetensors +3 -0
- model-00009-of-00025.safetensors +3 -0
- model-00010-of-00025.safetensors +3 -0
- model-00011-of-00025.safetensors +3 -0
- model-00012-of-00025.safetensors +3 -0
- model-00013-of-00025.safetensors +3 -0
- model-00014-of-00025.safetensors +3 -0
- model-00015-of-00025.safetensors +3 -0
- model-00016-of-00025.safetensors +3 -0
- model-00017-of-00025.safetensors +3 -0
- model-00018-of-00025.safetensors +3 -0
- model-00019-of-00025.safetensors +3 -0
- model-00020-of-00025.safetensors +3 -0
- model-00021-of-00025.safetensors +3 -0
- model-00022-of-00025.safetensors +3 -0
- model-00023-of-00025.safetensors +3 -0
- model-00024-of-00025.safetensors +3 -0
- model-00025-of-00025.safetensors +3 -0
- model.safetensors.index.json +371 -0
- special_tokens_map.json +23 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: transformers
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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base_model:
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| 9 |
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- MarinaraSpaghetti/NemoMix-Unleashed-12B
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- inflatebot/MN-12B-Mag-Mell-R1
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- elinas/Chronos-Gold-12B-1.0
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| 12 |
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- Retreatcost/KansenSakura-Eclipse-RP-12b
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- redrix/patricide-12B-Unslop-Mell-v2
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---
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# RP-king-12b
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RP-king-12b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [MarinaraSpaghetti/NemoMix-Unleashed-12B](https://huggingface.co/MarinaraSpaghetti/NemoMix-Unleashed-12B)
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* [inflatebot/MN-12B-Mag-Mell-R1](https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1)
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* [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0)
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* [Retreatcost/KansenSakura-Eclipse-RP-12b](https://huggingface.co/Retreatcost/KansenSakura-Eclipse-RP-12b)
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* [redrix/patricide-12B-Unslop-Mell-v2](https://huggingface.co/redrix/patricide-12B-Unslop-Mell-v2)
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## 🧩 Configuration
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```yamlmodels:
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- model: MarinaraSpaghetti/NemoMix-Unleashed-12B # Base model for creative foundation
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parameters:
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density: 0.65
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| 31 |
+
weight: 1.0
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| 32 |
+
- model: inflatebot/MN-12B-Mag-Mell-R1 # For worldbuilding and prose
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| 33 |
+
parameters:
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| 34 |
+
density: 0.8
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| 35 |
+
weight: 1.2
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| 36 |
+
- model: elinas/Chronos-Gold-12B-1.0 # For roleplay and prompt adherence
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parameters:
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| 38 |
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density: 0.9
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| 39 |
+
weight: 1.1
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| 40 |
+
- model: Retreatcost/KansenSakura-Eclipse-RP-12b
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| 41 |
+
parameters:
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| 42 |
+
density: 0.5
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| 43 |
+
weight: 0.7
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| 44 |
+
- model: redrix/patricide-12B-Unslop-Mell-v2 # For anti-GPTism and balance
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| 45 |
+
parameters:
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density: 0.6
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| 47 |
+
weight: 0.9
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+
merge_method: dare_ties
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base_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
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parameters:
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normalize: true
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dtype: bfloat16
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tokenizer_source: base```
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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| 4 |
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],
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| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
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"dtype": "bfloat16",
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| 8 |
+
"eos_token_id": 2,
|
| 9 |
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"head_dim": 128,
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| 10 |
+
"hidden_act": "silu",
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| 11 |
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"hidden_size": 5120,
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| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 14336,
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| 14 |
+
"max_position_embeddings": 1024000,
|
| 15 |
+
"model_type": "mistral",
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| 16 |
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"num_attention_heads": 32,
|
| 17 |
+
"num_hidden_layers": 40,
|
| 18 |
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"num_key_value_heads": 8,
|
| 19 |
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"rms_norm_eps": 1e-05,
|
| 20 |
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"rope_theta": 1000000.0,
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| 21 |
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.1",
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"use_cache": true,
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"vocab_size": 131072
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}
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mergekit_config.yml
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models:
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| 2 |
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- model: MarinaraSpaghetti/NemoMix-Unleashed-12B # Base model for creative foundation
|
| 3 |
+
parameters:
|
| 4 |
+
density: 0.65
|
| 5 |
+
weight: 1.0
|
| 6 |
+
- model: inflatebot/MN-12B-Mag-Mell-R1 # For worldbuilding and prose
|
| 7 |
+
parameters:
|
| 8 |
+
density: 0.8
|
| 9 |
+
weight: 1.2
|
| 10 |
+
- model: elinas/Chronos-Gold-12B-1.0 # For roleplay and prompt adherence
|
| 11 |
+
parameters:
|
| 12 |
+
density: 0.9
|
| 13 |
+
weight: 1.1
|
| 14 |
+
- model: Retreatcost/KansenSakura-Eclipse-RP-12b
|
| 15 |
+
parameters:
|
| 16 |
+
density: 0.5
|
| 17 |
+
weight: 0.7
|
| 18 |
+
- model: redrix/patricide-12B-Unslop-Mell-v2 # For anti-GPTism and balance
|
| 19 |
+
parameters:
|
| 20 |
+
density: 0.6
|
| 21 |
+
weight: 0.9
|
| 22 |
+
merge_method: dare_ties
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| 23 |
+
base_model: MarinaraSpaghetti/NemoMix-Unleashed-12B
|
| 24 |
+
parameters:
|
| 25 |
+
normalize: true
|
| 26 |
+
dtype: bfloat16
|
| 27 |
+
tokenizer_source: base
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model-00001-of-00025.safetensors
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special_tokens_map.json
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tokenizer.json
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@@ -0,0 +1,3 @@
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tokenizer_config.json
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