Inference
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Undi95

ReMM SLERP 13B

ReMM SLERP 13B is a model from Undi95. It has no scored result.

  • Open weights
  • Input: text
  • Released 2023-07
No resultsEnough results for an index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.0%
SpeedOutput tokens per second.56/sMedian 67/s
First tokenSeconds to the first output token.0.8 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.30Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.50Median $2.55
ContextMaximum tokens in one request.6KMedian 262K
EloLMArena rating and rank.—Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
undi95/remm-slerp-l2-13b
Max outputMaximum output tokens per request.
6K
Knowledge cutoffLast date of training data.
30 Jun 2023
ToolsTool calls on OpenRouter.
No
JSON outputOutput follows a given JSON schema.
Yes
Cache read / 1MUS dollars per 1M cached tokens.
$0.20
WeightsLink to the published weights.
Hugging Face (opens in a new tab) ↗
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
1 provider
ProviderTypeMaker, cloud, host or router.InputOutputContext
OpenRouterRouter$0.30$0.506K

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.None counted——
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.None counted——
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.None counted——
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.None counted——
MathMath problems.None counted——

Results

0 counted
This model has no scored result.

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reusemodels.devMIT

History

5 releases
Output / 1M$0.65 → $0.50
23 Oct 202612 Nov 2026

Questions

How much does ReMM SLERP 13B cost?
$0.30 per 1M input tokens, $0.50 per 1M output tokens.
How fast is ReMM SLERP 13B?
56 output tokens per second, 0.8 s to the first token.
What is the context window of ReMM SLERP 13B?
6K tokens.
Is ReMM SLERP 13B open source?
Yes. Its weights are published.
When was ReMM SLERP 13B released?
July 2023.