Instructions to use backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B with Transformers:

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

pipe = pipeline("text-generation", model="backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B")
model = AutoModelForCausalLM.from_pretrained("backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B

SGLang

How to use backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B 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 "backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B" \
    --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": "backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B",
		"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 "backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B" \
        --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": "backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B with Docker Model Runner:
```
docker model run hf.co/backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

The official library of GGUF format models for use in the local AI chat app, Backyard AI.

Download Backyard AI here to get started.

Request Additional models at r/LLM_Quants.

Fimbulvetr-Holodeck-Erebus-Westlake-10.7B

This is a recreation according to the mergekit recipe found here.

All credit for this model belongs to the original author.

Backyard AI

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One-click installation on Mac and PC.
Automatically use GPU for maximum speed.
Built-in model manager.
High-quality character hub.
Zero-config desktop-to-mobile tethering. Backyard AI makes it easy to start chatting with AI using your own characters or one of the many found in the built-in character hub. The model manager helps you find the latest and greatest models without worrying about whether it's the correct format. Backyard AI supports advanced features such as lorebooks, author's note, text formatting, custom context size, sampler settings, grammars, local TTS, cloud inference, and tethering, all implemented in a way that is straightforward and reliable. Join us on Discord

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Safetensors

Model size

11B params

Tensor type

F16

Model tree for backyardai/Fimbulvetr-Holodeck-Erebus-Westlake-10.7B

Sao10K/Fimbulvetr-11B-v2

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Merge model

this model

Quantizations

3 models