Instructions to use dcbv/charluv-13B-tiefighter-merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dcbv/charluv-13B-tiefighter-merged with Transformers:

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

pipe = pipeline("text-generation", model="dcbv/charluv-13B-tiefighter-merged")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("dcbv/charluv-13B-tiefighter-merged")
model = AutoModelForCausalLM.from_pretrained("dcbv/charluv-13B-tiefighter-merged", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use dcbv/charluv-13B-tiefighter-merged with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "dcbv/charluv-13B-tiefighter-merged"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "dcbv/charluv-13B-tiefighter-merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/dcbv/charluv-13B-tiefighter-merged

SGLang

How to use dcbv/charluv-13B-tiefighter-merged 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 "dcbv/charluv-13B-tiefighter-merged" \
    --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": "dcbv/charluv-13B-tiefighter-merged",
		"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 "dcbv/charluv-13B-tiefighter-merged" \
        --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": "dcbv/charluv-13B-tiefighter-merged",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use dcbv/charluv-13B-tiefighter-merged with Docker Model Runner:
```
docker model run hf.co/dcbv/charluv-13B-tiefighter-merged
```

Charluv-13B-Tiefighter

Tiefighter is a merged model achieved trough merging two different lora's on top of a well established existing merge. To achieve this the following recipe was used:

We begin with the base model Undi95/Xwin-MLewd-13B-V0.2 which is a well established merged, contrary to the name this model does not have a strong NSFW bias. Then we applied the PocketDoc/Dans-RetroRodeo-13b lora which is a finetune on the Choose your own Adventure datasets from our Skein model. After applying this lora we merged the new model with PocketDoc/Dans-RetroRodeo-13b at 5% to weaken the newly introduced adventure bias. The resulting merge was used as a new basemodel to which we applied Blackroot/Llama-2-13B-Storywriter-LORA and repeated the same trick, this time at 10%.

Finally we merged the Charluv dataset and created a new basemodel out of the endresult.

All credits for the original model goes to Henkie and the models below

This means this model contains the following ingredients from their upstream models for as far as we can track them:

Undi95/Xwin-MLewd-13B-V0.2
Undi95/ReMM-S-Light
Undi95/CreativeEngine
Brouz/Slerpeno
elinas/chronos-13b-v2
jondurbin/airoboros-l2-13b-2.1
NousResearch/Nous-Hermes-Llama2-13b+nRuaif/Kimiko-v2
CalderaAI/13B-Legerdemain-L2+lemonilia/limarp-llama2-v2
KoboldAI/LLAMA2-13B-Holodeck-1
NousResearch/Nous-Hermes-13b
OpenAssistant/llama2-13b-orca-8k-3319
ehartford/WizardLM-1.0-Uncensored-Llama2-13b
Henk717/spring-dragon
The-Face-Of-Goonery/Huginn-v3-13b (Contains undisclosed model versions, those we assumed where possible)
SuperCOT (Undisclosed version)
elinas/chronos-13b-v2 (Version assumed)
NousResearch/Nous-Hermes-Llama2-13b
stabilityai/StableBeluga-13B (Version assumed)
zattio770/120-Days-of-LORA-v2-13B
PygmalionAI/pygmalion-2-13b
Undi95/Storytelling-v1-13B-lor
TokenBender/sakhi_13B_roleplayer_NSFW_chat_adapter
nRuaif/Kimiko-v2-13B
The-Face-Of-Goonery/Huginn-13b-FP16

"a lot of different models, like hermes, beluga, airoboros, chronos.. limarp"

lemonilia/LimaRP-Llama2-13B-v3-EXPERIMENT
Xwin-LM/Xwin-LM-13B-V0.2
PocketDoc/Dans-RetroRodeo-13b
Blackroot/Llama-2-13B-Storywriter-LORA
dcbv/charluv-lora

This model is used on charluv.com

Downloads last month: 4

Safetensors

Model size

13B params

Tensor type

F16

dcbv
/

charluv-13B-tiefighter-merged

Charluv-13B-Tiefighter

Finally we merged the Charluv dataset and created a new basemodel out of the endresult.

All credits for the original model goes to Henkie and the models below

This model is used on charluv.com

Dataset used to train dcbv/charluv-13B-tiefighter-merged