🧩 Model Card: gpt-oss-20b
- Type: Text-to-Text
- Think: Low / Medium / High (reasoning effort)
- Tool Calling Support: No
- Base Model: openai/gpt-oss-20b
- Quantization: Q4_1
- Max Context Length: 128k tokens
- Default Context Length: 8192 tokens (change default)
- Set Context Length at Launch
▶️ Run with FastFlowLM in PowerShell:
flm run gpt-oss:20b
Default reasoning effort for both CLI and Server Modes is Medium
Set reasoning effort (CLI):
# CLI
flm run gpt-oss:20b
/set r-eff high
📝 NOTE
- Memory Requirements
⚠️ Note: Runninggpt-oss:20bmay need a system with > 32 GB RAM. The model itself uses ~15.1 GB of memory in FLM, and there is an internal cap (~15.6 GB) on NPU memory allocation enforced by AMD/Microsoft, which makes only about half of the total system RAM available to the NPU. On 32 GB machines, it sometimes works and sometimes does not, so we recommend more RAM for a smooth experience.
🧩 Model Card: gpt-oss-safeguard-20b
- Type: Text-to-Text
- Think: Low / Medium / High (reasoning effort)
- Tool Calling Support: No
- Base Model: openai/gpt-oss-safeguard-20b
- Quantization: Q4_1
- Max Context Length: 128k tokens
- Default Context Length: 8192 tokens (change default)
- Set Context Length at Launch
▶️ Run with FastFlowLM in PowerShell:
flm run gpt-oss-safeguard:20b
Default reasoning effort for both CLI and Server Modes is Medium
Set reasoning effort (CLI):
# CLI
flm run gpt-oss:20b
/set r-eff high
📝 NOTE
- Memory Requirements
⚠️ Note: Runninggpt-oss-safeguard:20bmay need a system with > 32 GB RAM. The model itself uses ~15.1 GB of memory in FLM, and there is an internal cap (~15.6 GB) on NPU memory allocation enforced by AMD/Microsoft, which makes only about half of the total system RAM available to the NPU. On 32 GB machines, it sometimes works and sometimes does not, so we recommend more RAM for a smooth experience.