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

meta-llama/llama

Inference code for Llama models observed · 2026-08-28

github.com/meta-llama/llama · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 3
  • Release rhythm 35
  • Longevity 92

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: 1296
  • days_rel: n/a
  • days_push: 584
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

59579 stars · 9789 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Meta's official repository containing inference code and download scripts for Llama 2 large language models (7B to 70B parameters). The repo is now deprecated in favor of the consolidated Llama Stack repositories like llama-models and llama-toolchain.

Use cases

  • run inference with llama 2 models locally
  • download llama 2 model weights and tokenizer
  • minimal example code to load llama models
  • experiment with llama 2 7b and 70b checkpoints
  • self-host llama 2 for research

When to choose

  • you specifically need the original minimal Llama 2 inference reference code
  • you want to study Meta's canonical example of loading and running Llama models

When to avoid

  • you want actively maintained Llama tooling - use llama-models, llama-toolchain, or llama-cookbook instead
  • you need fine-tuning, safety shields, or agentic features
  • you want production inference serving - use vLLM, TGI, or Hugging Face transformers

Facets

library · maturity abandoned

llm-inference machine-learning deep-learning large-language-models artificial-intelligence deep-learning python llama meta model-weights deprecated transformers gpu linux

1 source

Member repositories

RepositoryRoleHealth v2
meta-llama/llamamain32

For agents

markdown · JSON · MCP: product_card(name="meta-llama/llama")

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