Ross ROSS = Recommend OSS · open-source software intelligence for agents

microsoft/Llama-2-Onnx

None observed · 2026-08-28

github.com/microsoft/Llama-2-Onnx · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

28/100

  • Activity 0
  • Release rhythm 35
  • Longevity 81

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 1143
  • days_rel: n/a
  • days_push: 973
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1026 stars · 94 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Microsoft's optimized ONNX export of Meta's Llama 2 models (7B and 13B, pretrained and fine-tuned, float16/float32), distributed via Git submodules with example code for running inference. It enables running Llama 2 with ONNX Runtime instead of the original PyTorch weights.

Use cases

  • run llama 2 with onnx runtime
  • convert llama 2 to onnx format
  • text generation with llama 2 on cpu or gpu
  • deploy llama 2 without pytorch
  • try llama 2 inference examples
  • benchmark llama 2 onnx performance

When to choose

  • you want to run Llama 2 using ONNX Runtime for optimized inference
  • you need pretrained or fine-tuned 7B/13B Llama 2 weights in ONNX format
  • you want a minimal example of LLM text completion with ONNX

When to avoid

  • you need other LLMs than Llama 2
  • you want to fine-tune or train models rather than run inference
  • you cannot accept the gated access and Llama Community License restrictions
  • you need the latest models like Llama 3

Facets

library · maturity maintenance

llm-inference machine-learning deep-learning large-language-models machine-learning developer-tools python cross-platform onnx llama-2 model-optimization inference microsoft

1 source

Member repositories

RepositoryRoleHealth v2
microsoft/Llama-2-Onnxmain28

For agents

markdown · JSON · MCP: product_card(name="microsoft/Llama-2-Onnx")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem