Frame Professional (8-bit) v0.1.0-beta

Frame Frame Professional (8-bit) v0.1.0-beta (v0.1.0-beta-professional)

Paste this into ChatGPT if you get stuck.

Same IDE + same LoRA — different base model

• Edition: Frame Professional (8-bit) v0.1.0-beta
• Base GGUF: Qwen2.5-Coder-7B-Instruct Q8_0 (8-bit) (download from Hugging Face — not on GitHub)
• LoRA: frame-agent-v2-lora.zip on this release (identical across Efficient / Professional / Maximum)

Steps

1. Install Frame IDE from the Efficient release once OS installers are published (or build with ./scripts/launch-frame.sh).
2. Download frame-agent-v2-lora.zip from this release’s Assets and unzip.
3. Download a Q8_0 / Q8_K Instruct GGUF from Hugging Face.
4. Point Frame at that GGUF, copy adapters.safetensors into .frame/adapters/frame-agent-v1/, reload.

Full guide: https://github.com/Zainulabdin007/Frame_IDE/blob/main/docs/DOWNLOAD.md

Sibling editions

• Efficient (Q4)
• Professional (Q8)
• Maximum (FP16)

Frame Maximum (FP16) v0.1.0-beta

Frame Frame Maximum (FP16) v0.1.0-beta (v0.1.0-beta-maximum)

Paste this into ChatGPT if you get stuck.

Same IDE + same LoRA — different base model

• Edition: Frame Maximum (FP16) v0.1.0-beta
• Base GGUF: Qwen2.5-Coder-7B-Instruct F16 (full precision) (download from Hugging Face — not on GitHub)
• LoRA: frame-agent-v2-lora.zip on this release (identical across Efficient / Professional / Maximum)

Steps

1. Install Frame IDE from the Efficient release once OS installers are published (or build with ./scripts/launch-frame.sh).
2. Download frame-agent-v2-lora.zip from this release’s Assets and unzip.
3. Download a F16 / fp16 Instruct GGUF from Hugging Face.
4. Point Frame at that GGUF, copy adapters.safetensors into .frame/adapters/frame-agent-v1/, reload.

Full guide: https://github.com/Zainulabdin007/Frame_IDE/blob/main/docs/DOWNLOAD.md

Sibling editions

• Efficient (Q4)
• Professional (Q8)
• Maximum (FP16)

Frame v0.1.0-beta

Frame IDE (v0.1.0-beta)

First-time setup

1. Download the IDE asset for your OS (table below).
2. Download our Frame agent LoRA from this release when attached (frame-agent-v1-adapters.gguf).
3. Download a Qwen2.5-Coder-7B-Instruct Q4_K_M GGUF yourself (Hugging Face — not on GitHub; files are too large).
4. Point Frame at the base GGUF and install the LoRA (copy-paste guide): docs/DOWNLOAD.md

Stuck? Paste that doc into ChatGPT and ask it to walk you through your OS.

GitHub Release assets are capped at 2GB/file, so the full fused Efficient GGUF is not bundled here.

OS	Asset
Windows x64	Frame-IDE-win64.zip (and Frame-IDE-win64-Setup.exe when the Setup build succeeds)
Linux x64	Frame-IDE-linux64.tar.gz
macOS	Not published yet (unsigned DMG Gatekeeper issues — use ./scripts/launch-frame.sh from a clone)

Full Changelog: https://github.com/Zainulabdin007/Frame_IDE/commits/v0.1.0-beta