self-host onlyprice
31.8MTEB Medical v1
Nov 2024released
1,024Dimensions
2K tokensMax input
enLanguages
Alternatives?
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
Nothing here yet.
ModelScoreCostPriceWhat changes
ModelScoreCostPriceWhat changes
cF2LLM 4BunstatedOpen×2.2——Memory (4-bit): 0.2 GB → 2.4 GBcF2LLM 1.7BunstatedOpen+90%——Memory (4-bit): 0.2 GB → 1 GBcF2LLM v2 8BunstatedOpen+76%——Memory (4-bit): 0.2 GB → 4.5 GBcF2LLM v2 4BunstatedOpen+74%——Memory (4-bit): 0.2 GB → 2.4 GBcF2LLM 0.6BunstatedOpen+73%——Memory (4-bit): 0.2 GB → 0.4 GBRun it yourself
estimateFits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
Benchmarks
in Embeddings & RetrievalFAQ
How much does MicroLlama Text Embedding cost?›
There is no per-unit API price: self-host only.
Is MicroLlama Text Embedding free to use?›
There is no free API. The weights are open, so you can run it yourself.
How good is MicroLlama Text Embedding, and what is it best at?›
#168 of 220 in Embeddings.
Is MicroLlama Text Embedding better than Pubmedbert Base Embeddings 500K?›
On MTEB Medical v1 · Clustering · English, MicroLlama Text Embedding scores 31.8 vs 31.8 — about the same.
When was MicroLlama Text Embedding released? Is there a newer version?›
Released 2024-11-10. It is the current version in its line.
Is MicroLlama Text Embedding open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run MicroLlama Text Embedding locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
What is MicroLlama Text Embedding?›
MicroLlama Text Embedding is an open-weights embeddings & retrieval model from keeeeenw, released Nov 2024.
What are the best alternatives to MicroLlama Text Embedding?›
EmbeddingGemma 300M (better), F2LLM 4B (open weights).