Instructions to use FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context 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 FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context 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 FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M # Run inference directly in the terminal: llama cli -hf FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M # Run inference directly in the terminal: llama cli -hf FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context: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 FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M
Use Docker
docker model run hf.co/FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context with Ollama:
ollama run hf.co/FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context with Docker Model Runner:
docker model run hf.co/FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M
- Lemonade
How to use FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull FunnyPunch/LLAMA-3_8B_Unaligned_BETA_Long_Context:Q4_K_M
Run and chat with the model
lemonade run user.LLAMA-3_8B_Unaligned_BETA_Long_Context-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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@@ -8,4 +8,15 @@ I strongly suggest not downloading, or if you do...I guess tell me how bad this
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Go here for original: https://huggingface.co/SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA
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24.02.2026 - serious tests on Q8_0 started.
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Go here for original: https://huggingface.co/SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA
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24.02.2026 - serious tests on Q8_0 started.
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I initially had an idea, because I was using Q4_0 and similar on the phone where I have 32768 or 65536 context length set up in Layla. And Layla ignores the context limit unlike LM Studio.
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But in LM Studio it wasn't viable, despite the model being extremely fast (few seconds to generate response from Q8_0, regardless how far one was into the chat), because LM Studio forces one to the limit.
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Since limit in original Llama_3_8B_Unaligned_BETA is 16384, if you entered in LM Studio manually 32768, you would end up, if you were unlucky with 3276 context length and if you were lucky with 12768 context length.
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And in Layla, chats with 30K tokens and still working were normal.
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First I tried adapring RoPE from Wingless Imp 8B by Sicarius. However model went a bit nuts. That being said it's unknown if the issue wasn't on LM Studio side (their standard format of prompt is good, but I noticed that for example Impish Nemo hates it).
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I'm currently testing Q8_0.
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If anyone wants to help, please ask and I will upload one of the standard K quants or ARM quants. No Imatrix though, because I don't have a proper file to generate one.
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