Instructions to use FreedomIntelligence/Apollo-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use FreedomIntelligence/Apollo-7B-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 FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf FreedomIntelligence/Apollo-7B-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 FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf FreedomIntelligence/Apollo-7B-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 FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf FreedomIntelligence/Apollo-7B-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 FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use FreedomIntelligence/Apollo-7B-GGUF with Ollama:
```
ollama run hf.co/FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M
```

Unsloth Studio

How to use FreedomIntelligence/Apollo-7B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for FreedomIntelligence/Apollo-7B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for FreedomIntelligence/Apollo-7B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for FreedomIntelligence/Apollo-7B-GGUF to start chatting

Docker Model Runner
How to use FreedomIntelligence/Apollo-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M
```

Lemonade

How to use FreedomIntelligence/Apollo-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull FreedomIntelligence/Apollo-7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Apollo-7B-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

Nuo Chen commited on Apr 28, 2024

Commit

81f89fd

verified ·

1 Parent(s): 536dd66

Update README.md

Browse files

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README.md +2 -3

README.md CHANGED Viewed

@@ -18,7 +18,6 @@ Covering English, Chinese, French, Hindi, Spanish, Hindi, Arabic So far
 ## 🌈 Update
-We sincerely thank [mradermacher](https://huggingface.co/mradermacher/Apollo-7B-GGUF) for the assistance in providing multiple versions of the GGUF model.
 * **[2024.04.28]** We have updated multiple versions of the Apollo-7B GGUF model.
 * **[2024.03.07]** [Paper](https://arxiv.org/abs/2403.03640) released.
 * **[2024.02.12]** <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> and  <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a>  is published！🎉
@@ -27,7 +26,7 @@ We sincerely thank [mradermacher](https://huggingface.co/mradermacher/Apollo-7B-
 ## Overview
 | Type | Size/GB | Notes |
-|:-----|------:|:------|
 | [Q2_K](https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q2_K.gguf) | 3.6 |  |
 | [IQ3_XS](https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_XS.gguf) | 3.9 |  |
 | [IQ3_S](https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_S.gguf) | 4.1 | beats Q3_K* |
@@ -180,7 +179,7 @@ We sincerely thank [mradermacher](https://huggingface.co/mradermacher/Apollo-7B-
 ##  Acknowledgment
-We sincerely thank [mradermacher](https://huggingface.co/mradermacher/Apollo-7B-GGUF) for the assistance in providing multiple versions of the Apollo-7B GGUF model.
 ##  Citation

 ## 🌈 Update
 * **[2024.04.28]** We have updated multiple versions of the Apollo-7B GGUF model.
 * **[2024.03.07]** [Paper](https://arxiv.org/abs/2403.03640) released.
 * **[2024.02.12]** <a href="https://huggingface.co/datasets/FreedomIntelligence/ApolloCorpus" target="_blank">ApolloCorpus</a> and  <a href="https://huggingface.co/datasets/FreedomIntelligence/XMedbench" target="_blank">XMedBench</a>  is published！🎉
 ## Overview
 | Type | Size/GB | Notes |
+|:-|----:|:----|
 | [Q2_K](https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF/resolve/main/Apollo-7B.Q2_K.gguf) | 3.6 |  |
 | [IQ3_XS](https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_XS.gguf) | 3.9 |  |
 | [IQ3_S](https://huggingface.co/FreedomIntelligence/Apollo-7B-GGUF/resolve/main/Apollo-7B.IQ3_S.gguf) | 4.1 | beats Q3_K* |
 ##  Acknowledgment
+We sincerely thank [mradermacher](https://huggingface.co/mradermacher/Apollo-7B-GGUF) for the assistance in providing multiple versions of the Apollo-7B GGUF model!
 ##  Citation