sao10k
Sao10K: Llama 3 8B Lunaris
sao10k/l3-lunaris-8b
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
sao10k/l3-lunaris-8b is a text-to-text 8B model merge documented for English and built on Meta Llama 3 8B Instruct. Its creator describes it as a generalist and role-playing model combining several Llama 3 models to balance creativity with logic and general knowledge; those are stated goals, not measured results. The OpenRouter catalog lists an 8,192-token context window and gives the Hugging Face identifier Sao10K/L3-8B-Lunaris-v1.[1][2]
Strengths
- Author-described generalist and role-playing focus, intended to balance creativity, logic, and general knowledge.[1][2]
- TIES merge combines the Llama 3 8B Instruct base with models oriented toward role-playing, storytelling, and general knowledge.[2]
- Catalog lists an 8,192-token context and sampling, response-formatting, log-probability, and structured-output controls.[1]
Limitations
- The evidence pack contains catalog data and creator documentation, but no independent evaluations or benchmark results; validate it on the intended workload.[1][2]
- Documented language coverage is English; behavior in other languages is not established by these sources.[2]
- The catalog lists text-only input and output, and a knowledge cutoff of 2023-12-31.[1]
Where to use it
- English role-playing and character-driven storytelling are plausible fits, consistent with the model's stated focus and merge components.[1][2]
- General chat or creative-writing experiments may be reasonable where an 8,192-token context is sufficient; prompt-level testing is advisable.[1][2]
- Structured text-output integrations can be evaluated because the catalog lists response_format and structured_outputs support.[1]
Sources
- [1] OpenRouter catalog · Sao10K: Llama 3 8B LunarisSources checked: Nov 13, 2026
- [2] Model documentation · Sao10K: Llama 3 8B LunarisSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and general knowledge....
Specifications
- Model ID
- sao10k/l3-lunaris-8b
- Creator
- sao10k
- Added to OpenRouter
- 13.08.2024
- Context length
- 8,192
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.040 / out $0.050
- Knowledge cutoff
- 31.12.2023
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Parasailbf16 | 8,192 | $0.040 | $0.050 | — | — | 100% |
| DeepInfrafp8 | 8,192 | $0.040 | $0.050 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.