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undi95 · Open weights

ReMM SLERP 13B

Added Jan 1, 2024Open weights

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Use in the app

A recreation trial of the original MythoMax-L2-B13 but merged with updated models.

  • PDF input
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.80
Output
$1.21

Reference prices as published by the model provider. API example

Specifications

Context window
6.1K
Max output
4.1K
Average output (7 days)
62 tokens
Longer than 5% of 468 models

Side by side

ReMM SLERP 13B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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ReMM SLERP 13Bundi95This modelTencent Hy4 PreviewtencentRemove
Providerundi95tencent
Discovery tierOpen weightsOpen weights
AddedJan 1, 2024Aug 28, 2026
Limits
Context window6.14K1.05MBest
Max output4.1K64KBest
Average output62 tokens2K tokens
Pricing, USD per 1M tokens
Input$0.80$0.75Best
Output$1.21Best$2.25
Cache read—$0.0378
Performance
Throughput—57.6 tok/s
Time to first token—4.4 s
Request success (24h)—99.7%
Capabilities
ReasoningNoYes
ToolsNoYes
Structured outputNoYes
PDF inputYesNo
Reasoning effort—none, low, high

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • ReMM SLERP 13B
  • Tencent Hy4 Preview
LeaderboardReMM SLERP 13BTencent Hy4 Preview
WebDev OverallNot in top 20#15 · 1631.2
WebDev · WebdevNot in top 20#15 · 1631.2
WebDev · Webdev-reactNot in top 20#13 · 1652.6

Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "undi95/remm-slerp-l2-13b",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="undi95/remm-slerp-l2-13b",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)