whatmodel.sh / Eurus-2-7B-SFT
Eurus-2-7B-SFT
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Eurus-2-7B-SFT is an open-weights language model from PRIME-RL, released December 2024. Its published size is 7.62B parameters. Licence: apache-2.0.
Catalogue identity notes
Comparison-only, proposed so the Eurus-2-7B-PRIME card table counts. The PRIME card compares Eurus-2-7B-PRIME with 'Eurus-2-7B-SFT', the PRIME team's own SFT starting checkpoint. Weights: https://huggingface.co/PRIME-RL/Eurus-2-7B-SFT (sha 2f38b9435f3a99d8899d4f00df8b6ebf0b3f502e, created 2024-12-30, apache-2.0, 7,615,616,512 parameters in safetensors metadata).
$ how it compares
The LLMs ranked either side of Eurus-2-7B-SFT, out of 828 with a score, then more from PRIME-RL.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 694 | 35±1 | local | |||
| 695 | 35±1 | local | |||
| 696 | 35±3 | local | |||
| 697 | 35±1 | local | |||
| 698 | 35±1 | local | |||
| more from PRIME-RL | |||||
| 545 | 44±2 | local | |||
$ what it's good at
$ where to run it
llama.cpp · recommended
version
- Install llama.cpp · Homebrew and winget installs name the commands llama-cli and llama-server instead.macOS / Linux
curl -LsSf https://llama.app/install.sh | shWindowsirm https://llama.app/install.ps1 | iex - Run Eurus-2-7B-SFT · needs ~4.7 GB · from huggingface.co/mradermacherchat in the terminal
llama cli -hf mradermacher/Eurus-2-7B-SFT-GGUF:Q4_K_M - Or start a local server and open the address it prints (http://localhost:9931)
llama serve -hf mradermacher/Eurus-2-7B-SFT-GGUF:Q4_K_M
LM Studio
version
- Install LM Studio · Open the app once before using the lms command.
- Run Eurus-2-7B-SFT · needs ~4.7 GB · from huggingface.co/mradermacher
- Or download it in the terminal
lms get https://huggingface.co/mradermacher/Eurus-2-7B-SFT-GGUF@Q4_K_M -y - Then run lms ls to see its name, and lms chat followed by that name
Ollama
version
- Install Ollama
download it (macOS / Windows) ↗
Linuxcurl -fsSL https://ollama.com/install.sh | sh - Run Eurus-2-7B-SFT · needs ~4.7 GB · from huggingface.co/mradermacherchat in the terminal
ollama run hf.co/mradermacher/Eurus-2-7B-SFT-GGUF:Q4_K_M
Official weights and documentation: huggingface.co/PRIME-RL ↗
$ how the score was worked out · PRIME-RL Eurus-2-7B-PRIME mod… 96%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
| 3 | 96% | |
| prior · pull toward the middle | 4% | |
| weighted average | = 34.9 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json