Instructions to use DoppelReflEx/MiniusLight-24B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DoppelReflEx/MiniusLight-24B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="DoppelReflEx/MiniusLight-24B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("DoppelReflEx/MiniusLight-24B")
model = AutoModelForCausalLM.from_pretrained("DoppelReflEx/MiniusLight-24B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use DoppelReflEx/MiniusLight-24B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DoppelReflEx/MiniusLight-24B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DoppelReflEx/MiniusLight-24B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/DoppelReflEx/MiniusLight-24B

SGLang

How to use DoppelReflEx/MiniusLight-24B 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 "DoppelReflEx/MiniusLight-24B" \
    --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": "DoppelReflEx/MiniusLight-24B",
		"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 "DoppelReflEx/MiniusLight-24B" \
        --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": "DoppelReflEx/MiniusLight-24B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use DoppelReflEx/MiniusLight-24B with Docker Model Runner:
```
docker model run hf.co/DoppelReflEx/MiniusLight-24B
```

MiniusLight-24B / README.md

DoppelReflEx

Update README.md

ffb6dfd verified over 1 year ago

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metadata

base_model:
  - TheDrummer/Cydonia-24B-v2
  - PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
library_name: transformers
tags:
  - mergekit
  - merge
license: cc-by-nc-4.0

MiniusLight-24B

12B - 24B-v1 - 24B-v1.01

Origin Content (Click Here)

What is this?

A nice, simple Slerp merge of 2 Mistral "Small" model and well-known HuggingFace users, TheDrummer/Cydonia-24B-v2 & PocketDoc/Dans-PersonalityEngine-V1.2.0-24b.

This version is the best merge version and recipe I have tried with a good eval scores. Strong in ERP, RP, Story Writing and orther purpose.

Overall, nice to try model, if you want to try. :)

GGUF

Static - iMatrix

Other information

Chat Template? ChatML, of course!

Merge Method

Detail YAML Config

  {
  models:
    - model: TheDrummer/Cydonia-24B-v2
    - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b
  merge_method: slerp
  base_model: TheDrummer/Cydonia-24B-v2
  parameters:
    t: [0.1, 0.3, 0.6, 0.3, 0.1]
  dtype: bfloat16
  }

DoppelReflEx
/

MiniusLight-24B

MiniusLight-24B

12B - 24B-v1 - 24B-v1.01

What is this?

GGUF

Static - iMatrix

Other information

Chat Template? ChatML, of course!

Merge Method

Detail YAML Config

{ models: - model: TheDrummer/Cydonia-24B-v2 - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b merge_method: slerp base_model: TheDrummer/Cydonia-24B-v2 parameters: t: [0.1, 0.3, 0.6, 0.3, 0.1] dtype: bfloat16 }

MiniusLight-24B

12B - 24B-v1 - 24B-v1.01

What is this?

GGUF

Static - iMatrix

Other information

Chat Template? ChatML, of course!

Merge Method

Detail YAML Config { models: - model: TheDrummer/Cydonia-24B-v2 - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b merge_method: slerp base_model: TheDrummer/Cydonia-24B-v2 parameters: t: [0.1, 0.3, 0.6, 0.3, 0.1] dtype: bfloat16 }

Detail YAML Config

{ models: - model: TheDrummer/Cydonia-24B-v2 - model: PocketDoc/Dans-PersonalityEngine-V1.2.0-24b merge_method: slerp base_model: TheDrummer/Cydonia-24B-v2 parameters: t: [0.1, 0.3, 0.6, 0.3, 0.1] dtype: bfloat16 }