ReMM SLERP 13B
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Context window
This model accepts 6K tokens in one request (~5K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- Won't fitLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 6,144 tokens (6K)
- Max output tokens
- 4,096 tokens (4K)
- Speed tier
- fast
- Provider
- Undi95
- Release date
- Jul 2023
- Input cost
- $1.88/M / 1M tokens
- Output cost
- $1.88/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Streaming
- Returns tokens as they are generated
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Tool use
- Can call external tools and APIs
- Not supported
- Function calling
- Structured function call interface
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare ReMM SLERP 13B
Open a side-by-side comparison with one click.
- ReMM SLERP 13B vs Amazon Titan Text Express
Amazon Titan Text Express has 583% larger context window
- ReMM SLERP 13B vs Amazon Titan Text Lite
Amazon Titan Text Lite has 583% larger context window
- ReMM SLERP 13B vs Amazon Titan Text Premier
Amazon Titan Text Premier has 583% larger context window
- ReMM SLERP 13B vs Claude Instant
Claude Instant has 1527% larger context window
- ReMM SLERP 13B vs Anthropic Claude
Anthropic Claude has 1527% larger context window
- ReMM SLERP 13B vs Codellama 34b Instruct
ReMM SLERP 13B has 50% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
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