Instructions to use FlareRebellion/BereavedCompound-v1.0-24b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use FlareRebellion/BereavedCompound-v1.0-24b with Transformers:

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

pipe = pipeline("text-generation", model="FlareRebellion/BereavedCompound-v1.0-24b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("FlareRebellion/BereavedCompound-v1.0-24b")
model = AutoModelForCausalLM.from_pretrained("FlareRebellion/BereavedCompound-v1.0-24b", 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]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use FlareRebellion/BereavedCompound-v1.0-24b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "FlareRebellion/BereavedCompound-v1.0-24b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "FlareRebellion/BereavedCompound-v1.0-24b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/FlareRebellion/BereavedCompound-v1.0-24b

SGLang

How to use FlareRebellion/BereavedCompound-v1.0-24b 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 "FlareRebellion/BereavedCompound-v1.0-24b" \
    --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": "FlareRebellion/BereavedCompound-v1.0-24b",
		"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 "FlareRebellion/BereavedCompound-v1.0-24b" \
        --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": "FlareRebellion/BereavedCompound-v1.0-24b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use FlareRebellion/BereavedCompound-v1.0-24b with Docker Model Runner:
```
docker model run hf.co/FlareRebellion/BereavedCompound-v1.0-24b
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

BereavedCompound-v1.0-24b

This is a merge of pre-trained language models created using mergekit.

Merge Details

Notes

This is a multi-stage merge. There's little method to my madness and I just stopped when I arrived at something that I liked.

Starting point was FlareRebellion/WeirdCompound-v1.7-24b

Changelog

v1.0

/intermediate/model/A: replaced TheDrummer/Cydonia-24B-v4.2.0 with ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0

Merge Method

This model was merged using the Model Stock merge method using ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0 as a base.

This model was merged using the SLERP merge method.

This model was merged using the NuSLERP merge method using /intermediate/model/B as a base.

Models Merged

ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
aixonlab/Eurydice-24b-v3.5
PocketDoc/Dans-PersonalityEngine-V1.3.0-24b
zerofata/MS3.2-PaintedFantasy-v2-24B
CrucibleLab/M3.2-24B-Loki-V1.3
Delta-Vector/Austral-24B-Winton
anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
/intermediate/model/A
/intermediate/model/B
/intermediate/model/C

Configuration

The following YAML configuration was used to produce this model:

base_model: ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
merge_method: model_stock
dtype: bfloat16
models:
  - model: aixonlab/Eurydice-24b-v3.5 # storytelling / RP
  - model: ReadyArt/MS3.2-The-Omega-Directive-24B-Unslop-v2.0
  - model: PocketDoc/Dans-PersonalityEngine-V1.3.0-24b # Prompt Adherence
  - model: CrucibleLab/M3.2-24B-Loki-V1.3 # Loki
  - model: zerofata/MS3.2-PaintedFantasy-v2-24B  # animu
  - model: Delta-Vector/Austral-24B-Winton  # Adventure

→ /intermediate/model/A →

merge_method: slerp
dtype: bfloat16
base_model: anthracite-core/Mistral-Small-3.2-24B-Instruct-2506-Text-Only
models:
  - model: /intermediate/model/A
parameters:
  t: 0.45

→ /intermediate/model/B →

merge_method: nuslerp
dtype: bfloat16
base_model: /intermediate/model/B
models:
  - model: PocketDoc/Dans-PersonalityEngine-V1.3.0-24b
    parameters:
      weight: 0.4
  - model: CrucibleLab/M3.2-24B-Loki-V1.3
    parameters:
      weight: 0.6

→ /intermediate/model/C →

merge_method: slerp
dtype: bfloat16
base_model: /intermediate/model/B
models:
  - model: /intermediate/model/C
parameters:
  t: 0.5

→ BereavedCompound-v1.0-24b

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Safetensors

Model size

24B params

Tensor type

BF16

Model tree for FlareRebellion/BereavedCompound-v1.0-24b

Merges

1 model

Quantizations

5 models

Paper for FlareRebellion/BereavedCompound-v1.0-24b

Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 15