ReMM SLERP 13B
ReMM SLERP 13B, crafted by undi95, is designed for text-based interactions with a substantial context length of 6144 tokens and a generous maximum completion capacity of the same. It processes only textual input without support for tools, reasoning, or structured output. Given its focused capabilities, it excels in tasks requiring extensive context but lacks features like data manipulation or analytical thinking. Considering its pricing at $0.45 per million input tokens and $0.65 per million output tokens, ReMM SLERP 13B is particularly appealing for users who need to handle large volumes of text efficiently, despite the lack of benchmark validation. Its cost-effectiveness makes it a viable option for projects where detailed context and high token limits are crucial, though its performance relative to other models remains unverified until more independent benchmarks become available.
- Model ID
- undi95/remm-slerp-l2-13b
- Vendor
- undi95
- Released
- July 2023
- Tokenizer
- Llama2
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 6,144 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.45/M input and $0.65/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.26 |
| A month of a busy support chatbot | 5M in / 2M out | $3.55 |
Quick answers
- How much does ReMM SLERP 13B cost?
- $0.45 per million input tokens and $0.65 per million output tokens.
- What is ReMM SLERP 13B's context window?
- 6,144 tokens, roughly 9 pages of text in a single request.
- Does ReMM SLERP 13B support tool calling?
- It supports structured output.
- Can ReMM SLERP 13B process images?
- No, it is text-only on the input side.