jmarceno/Elixir-Gemma-4-12B

TEXT GENERATIONPricing:Input $1.2 / Cached $0.24 / Output $4.8Concurrent Unit Cost:1Model Size:12BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Oct 4, 2026License:apache-2.0Architecture:Transformer0.0K Open Weights Featherless Exclusive Cold

The jmarceno/Elixir-Gemma-4-12B is a 12 billion parameter Gemma 4 model, fine-tuned specifically for generating Elixir code. It specializes in producing Elixir code that parses, compiles, and passes tests, building upon the instruction-tuned QAT checkpoint of the base Gemma 4 12B. This model demonstrates a significant improvement in Elixir task completion, achieving a 35.9% pass rate compared to the base model's 24.2% on a 128-task executable harness. It is optimized for developers working with Elixir, particularly for tasks involving standard library usage, error handling, OTP, and BEAM abstractions.

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Elixir Gemma 4 12B: Specialized Code Generation

The jmarceno/Elixir-Gemma-4-12B is a 12 billion parameter Gemma 4 model, meticulously fine-tuned to excel at generating high-quality Elixir code. Starting from the instruction-tuned QAT checkpoint of the base Gemma 4 12B, this model's primary focus is on producing Elixir code that is not only syntactically correct but also compiles and passes associated tests.

Key Capabilities & Performance

  • Enhanced Elixir Code Generation: Demonstrates a substantial improvement in solving Elixir coding tasks. On a 128-task executable harness, it achieved a 35.9% pass rate, a +11.7 percentage point increase (or +48% relative gain) over the base Gemma 4 12B QAT model's 24.2%.
  • Specific Area Improvements: Shows notable gains across various Elixir domains, including:
    • Standard library tasks: 10/16 (up from 6/16)
    • Error handling: 11/16 (up from 8/16)
    • OTP (Open Telecom Platform): 4/16 (up from 2/16)
    • BEAM (Erlang VM): 3/16 (up from 1/16)
    • Abstractions: 3/16 (up from 1/16)
  • Cleaner Code Output: Produces cleaner completions, with the warning-free rate improving from 46.9% to 58.6%. All completions consistently stay within a single fenced answer.
  • Context Length: Supports a context length of 16,384 tokens, as used in its evaluation setup.

Good For

  • Elixir Developers: Ideal for developers seeking an LLM specifically optimized for generating functional and test-passing Elixir code.
  • Code Assistance: Useful for accelerating development by providing accurate code snippets for common Elixir patterns, standard library functions, and OTP behaviors.
  • Learning Elixir: Can serve as a valuable tool for understanding how to implement various Elixir concepts correctly, from error handling to BEAM interactions.