Instructions to use featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-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 featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-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 featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-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 featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
Use Docker
docker model run hf.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
- Ollama
How to use featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF with Ollama:
ollama run hf.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF with Docker Model Runner:
docker model run hf.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
- Lemonade
How to use featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +12 -0
- README.md +46 -0
- featherless-quants.png +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-IQ4_XS.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q2_K.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_L.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_M.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_S.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q4_K_M.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q4_K_S.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q5_K_S.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q6_K.gguf +3 -0
- gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q8_0.gguf +3 -0
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README.md
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---
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base_model: gradientai/Llama-3-8B-Instruct-Gradient-1048k
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pipeline_tag: text-generation
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quantized_by: featherless-ai-quants
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---
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# gradientai/Llama-3-8B-Instruct-Gradient-1048k GGUF Quantizations π
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*Optimized GGUF quantization files for enhanced model performance*
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---
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## Available Quantizations π
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| Quantization Type | File | Size |
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|-------------------|------|------|
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| Q8_0 | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q8_0.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q8_0.gguf) | 8145.11 MB |
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| Q4_K_S | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q4_K_S.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q4_K_S.gguf) | 4475.28 MB |
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| Q2_K | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q2_K.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q2_K.gguf) | 3031.86 MB |
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| Q6_K | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q6_K.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q6_K.gguf) | 6290.44 MB |
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| Q3_K_M | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_M.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_M.gguf) | 3832.74 MB |
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| Q3_K_S | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_S.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_S.gguf) | 3494.74 MB |
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| Q3_K_L | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_L.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q3_K_L.gguf) | 4121.74 MB |
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| Q4_K_M | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q4_K_M.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q4_K_M.gguf) | 4692.78 MB |
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| Q5_K_S | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q5_K_S.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q5_K_S.gguf) | 5339.90 MB |
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| Q5_K_M | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-Q5_K_M.gguf) | 5467.40 MB |
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| IQ4_XS | [gradientai-Llama-3-8B-Instruct-Gradient-1048k-IQ4_XS.gguf](https://huggingface.co/featherless-ai-quants/gradientai-Llama-3-8B-Instruct-Gradient-1048k-GGUF/blob/main/gradientai-Llama-3-8B-Instruct-Gradient-1048k-IQ4_XS.gguf) | 4276.62 MB |
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---
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## β‘ Powered by [Featherless AI](https://featherless.ai)
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### Key Features
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- π₯ **Instant Hosting** - Deploy any Llama model on HuggingFace instantly
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- π οΈ **Zero Infrastructure** - No server setup or maintenance required
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- π **Vast Compatibility** - Support for 2400+ models and counting
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- π **Affordable Pricing** - Starting at just $10/month
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---
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**Links:**
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[Get Started](https://featherless.ai) | [Documentation](https://featherless.ai/docs) | [Models](https://featherless.ai/models)
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