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replit/ReplitLM

Inference code and configs for the ReplitLM model family observed · 2026-08-28

github.com/replit/ReplitLM · homepage · Python · Apache-2.0 (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 35
  • Longevity 87

Flags: no_releases archived

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: 1223
  • days_rel: n/a
  • days_push: 1059
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1082 stars · 143 forks observed · 2026-08-28

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

Official repository with inference code, configs, and guides for the ReplitLM family of code-oriented language models, such as replit-code-v1-3b. It includes instructions for using the models with Hugging Face Transformers and for training or fine-tuning them with MosaicML's LLM Foundry and Composer.

Use cases

  • run replit-code-v1-3b for code completion locally
  • fine-tune a replit code model on my own dataset
  • do alpaca-style instruction tuning on replit-code models
  • load replit lm checkpoints with hugging face transformers
  • pretrain or continue training replit models with llm foundry
  • try a hosted demo of a code llm

When to choose

  • you want to use or fine-tune the ReplitLM code models specifically
  • you already use Hugging Face Transformers or MosaicML LLM Foundry
  • you need Apache-2.0 licensed inference and training configs for these checkpoints

When to avoid

  • you need a general-purpose LLM not focused on code
  • you want a actively developed model with frequent releases
  • you need a hosted API rather than self-hosted model weights

Facets

library · maturity maintenance

llm-inference llm-training machine-learning large-language-models machine-learning developer-tools python cross-platform code-generation hugging-face model-checkpoints fine-tuning llm-foundry instruct-tuning gpu

6 sources

Member repositories

RepositoryRoleHealth v2
replit/ReplitLMmain10

For agents

markdown · JSON · MCP: product_card(name="replit/ReplitLM")

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