ReMM SLERP L2 13B
ReMM SLERP L2 13B is worth evaluating for classification and json / tool use when its provider route and context window match the workload.
Use it for
- Teams evaluating classification and json / tool use
- Workloads that can use a 4k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Re:MythoMax
- Released
- 2023-12-20
- Context
- 4k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open weights
- License
- Llama 2 CommunityCommercial use: conditional
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 2 routes · Together AI
About
The ReMM SLERP L2 13B, developed by Undi95, is a large language model that reimagines the original MythoMax-L2-B13 with enhanced architecture and techniques. Utilizing the SLERP method, it combines foundational models like Mythologic and Huginn to boost performance and versatility in natural language processing tasks. Built on the Llama architecture with 13 billion parameters, it effectively handles complex language scenarios with a context length of 4096 tokens.
Top use-case fit
Classification
Included by capability and metadata signals in the decision map.
JSON / Tool use
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 2Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Together AI | $0.300 | $0.300 | Serverless |
| OpenRouter | $0.450 | $0.650 | Serverless |
Available via routers & gateways(1)
Capabilities
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Cheapest of 2 routes · Together AI