undi95

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.

Quality Score
60/100
price + capability + benchmarks
Input Price
$0.45
per 1M tokens
Output Price
$0.65
per 1M tokens
Context Window
6,144
tokens
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 →

JobTokensCost
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.