Re:MythoMax Models by Undi95
About
The Re:MythoMax (ReMM) family of large language models are enhanced recreations of the original MythoMax model, integrating the sophisticated SLERP merging technique. Rooted in the MythoMax-L2-B13 model, these updated models leverage newer base architectures to deliver improved performance 45. By combining elements from ReML, a recreation of MythoLogic-L2-13B, and Huginn v1.2, ReMM models benefit from a robust and versatile underlying design 45. The family includes versions like ReMM v2 and ReMM v2.2, demonstrating continuous refinement and enhancement in their generation capabilities. These models are accessible in fp16 format on Hugging Face, supporting various applications with their innovative and adaptive framework 45.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
Use when the workload needs 4k context, 13B parameters, and structured outputs.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| ReMM SLERP L2 13B | Use when the workload needs 4k context, 13B parameters, and structured outputs. | 2023-12 | 4k context13B parametersstructured outputs | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| ReMM SLERP L2 13B | 2023-12 | 4k | 13B | Yes |
Available From(2 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| ReMM SLERP L2 13B | Together AI | $0.3 | $0.3 | Serverless |
| ReMM SLERP L2 13B | OpenRouter | $0.45 | $0.65 | Serverless |
Frequently Asked Questions
- What is Re:MythoMax used for?
- Re:MythoMax is used for structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
- How does Re:MythoMax compare to Toppy?
- Re:MythoMax by Undi95 is strongest where you need structured outputs, while Toppy by Undi95 is the closest related family to check for uncensored. Re:MythoMax has 1 listed variant and reaches up to 4k context, while Toppy reaches up to 4k context, so compare the specs and pricing tables before choosing a production model.
- Which Re:MythoMax model should I use?
- For the lowest listed input price, start with ReMM SLERP L2 13B through Together AI at $0.3/1M input tokens. For the most capable/latest local choice, evaluate ReMM SLERP L2 13B with 4k context and structured outputs.
