Instructions to use QuantFactory/Fimbulvetr-11B-v2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use QuantFactory/Fimbulvetr-11B-v2-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
Use Docker
docker model run hf.co/QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use QuantFactory/Fimbulvetr-11B-v2-GGUF with Ollama:
ollama run hf.co/QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use QuantFactory/Fimbulvetr-11B-v2-GGUF with Docker Model Runner:
docker model run hf.co/QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
- Lemonade
How to use QuantFactory/Fimbulvetr-11B-v2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuantFactory/Fimbulvetr-11B-v2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Fimbulvetr-11B-v2-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
QuantFactory/Fimbulvetr-11B-v2-GGUF
This is quantized version of Sao10K/Fimbulvetr-11B-v2 created using llama.cpp
Original Model Card
Cute girl to catch your attention.
https://huggingface.co/Sao10K/Fimbulvetr-11B-v2-GGUF <------ GGUF
Fimbulvetr-v2 - A Solar-Based Model
4/4 Status Update:
got a few reqs on wanting to support me: https://ko-fi.com/sao10k
anyway, status on v3 - Halted for time being, working on dataset work mainly. it's a pain, to be honest. the data I have isn't up to my standard for now. it's good, just not good enough
Prompt Formats - Alpaca or Vicuna. Either one works fine. Recommended SillyTavern Presets - Universal Light
Alpaca:
### Instruction:
<Prompt>
### Input:
<Insert Context Here>
### Response:
Vicuna:
System: <Prompt>
User: <Input>
Assistant:
Changelogs:
25/2 - repo renamed to remove test, model card redone. Model's officially out.
15/2 - Heavy testing complete. Good feedback.
Rant - Kept For Historical Reasons
Ramble to meet minimum length requirements:
Tbh i wonder if this shit is even worth doing. Like im just some broke guy lmao I've spent so much. And for what? I guess creds. Feels good when a model gets good feedback, but it seems like im invisible sometimes. I should be probably advertising myself and my models on other places but I rarely have the time to. Probably just internal jealousy sparking up here and now. Wahtever I guess.
Anyway cool EMT vocation I'm doing is cool except it pays peanuts, damn bruh 1.1k per month lmao. Government to broke to pay for shit. Pays the bills I suppose.
Anyway cool beans, I'm either going to continue the Solar Train or go to Mixtral / Yi when I get paid.
You still here?
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