[whatmodel.sh](../../README.md) / StableLM-3B-4E1T
# StableLM-3B-4E1T
Stability AI · released 2023-09 · 2.8B params · cc-by-sa-4.0
**score 29.6** ±1.0 · #664 of 732 · from 11 benchmark results across 2 sources
Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only.
## What it's good at
● marks StableLM-3B-4E1T among every model on that task or test, worst to best.
other tests (11)
test result vs the others in its run difficulty counts why
ARC Challenge (maker) 40.0% ▁·▁··▁▁▇▂●▆▃ beats 13/26 easy · avg 82% 48% sharp
WinoGrande (maker) 66.5% ▁····▁··▁▂●▄ beats 16/26 easy · avg 86% 11% at its level
BoolQ (maker) 75.6% ▂▃▂▅▆▂▅▆●▂▂▂ beats 23/26 easy · avg 88% 8.5% at its level
HellaSwag (maker) 73.9% ▃···▁▇▅●▇▃▁▁ beats 16/26 very easy · avg 91% 6.2% at its level
ARC Easy (maker) 67.7% ▁▁·▁▁▄▅▄●▅▁▃ beats 14/26 easy · avg 85% 5.8% blunt · at its level
SciQ (maker) 94.8% ▁·▁·▁·▃▅▃█●▁ beats 25/26 very easy · avg 97% 4.8% blunt
PIQA (maker) 79.2% ▁·▁··▁▁▃█▅●▂ beats 24/26 easy · avg 87% 4.2% blunt · at its level
OpenBookQA (maker) 31.4% █·▁▁▃·▁▃▅●▃▄ beats 20/26 hard · avg 49% 3.8% too hard for it
LAMBADA (OpenAI version), last-wo… 70.6% ▁··▂▁▁▁▂▆●▅▃ beats 16/26 very easy · avg 86% 2.6% blunt · at its level
Social IQA (maker) 41.9% ▁···▁▃●▁▁▁·▁ beats 9/26 hard · avg 56% 2.4% blunt
Open PT-LLM Leaderboard average (… 39.8% ▃▁▁▁▁●▁▁▂█▅▁ beats 49/276 medium · avg 72% 1.7% noisy
source results share of the score
Stability AI (submitted / maker-reporte… 10 98% ▇▇▇▇▇▇▇▇▇▇▇▇
Open Portuguese LLM Leaderboard 1 2% ▇
prior: pull toward the middle 0% ▇
weighted average = 29.6
Licences: Stability AI ([Apache-2.0](../../licenses/stablelm-original-eval-json-Apache-2.0.txt)) · Open Portuguese LLM Leaderboard ([Apache-2.0](../../licenses/hf-leaderboard-spaces-Apache-2.0.txt))
## How to run it
### llama.cpp (recommended)
1. Install llama.cpp. Homebrew and winget installs name the commands llama-cli and llama-server instead. [Other ways to install](https://github.com/ggml-org/llama.cpp/blob/master/docs/install.md)
```sh
# macOS / Linux
curl -LsSf https://llama.app/install.sh | sh
# Windows
irm https://llama.app/install.ps1 | iex
```
2. Run StableLM-3B-4E1T (Q4_K_M, needs ~1.7 GB, from [huggingface.co/afrideva](https://huggingface.co/afrideva/stablelm-3b-4e1t-GGUF/tree/b98fb0ffeac9463a05bf97a1da5104526658c2eb))
```sh
llama cli -hf afrideva/stablelm-3b-4e1t-GGUF:q4_k_m
```
3. Or start a local server and open the address it prints (http://localhost:9931)
```sh
llama serve -hf afrideva/stablelm-3b-4e1t-GGUF:q4_k_m
```
Other versions: Q8_0 (~3 GB) `llama cli -hf afrideva/stablelm-3b-4e1t-GGUF:q8_0`
### LM Studio
1. Install LM Studio. Open the app once before using the lms command. [Download it (macOS / Windows / Linux)](https://lmstudio.ai/download)
2. Run StableLM-3B-4E1T (Q4_K_M, needs ~1.7 GB, from [huggingface.co/afrideva](https://huggingface.co/afrideva/stablelm-3b-4e1t-GGUF/tree/b98fb0ffeac9463a05bf97a1da5104526658c2eb))
```sh
lms get https://huggingface.co/afrideva/stablelm-3b-4e1t-GGUF@q4_k_m -y
```
3. Then run lms ls to see its name, and lms chat followed by that name
Other versions: Q8_0 (~3 GB) `lms get https://huggingface.co/afrideva/stablelm-3b-4e1t-GGUF@q8_0 -y`
### Ollama
1. Install Ollama. [Download it (macOS / Windows)](https://ollama.com/download)
```sh
# Linux
curl -fsSL https://ollama.com/install.sh | sh
```
2. Run StableLM-3B-4E1T (Q4_K_M, needs ~1.7 GB, from [huggingface.co/afrideva](https://huggingface.co/afrideva/stablelm-3b-4e1t-GGUF/tree/b98fb0ffeac9463a05bf97a1da5104526658c2eb))
```sh
ollama run hf.co/afrideva/stablelm-3b-4e1t-GGUF:q4_k_m
```
Other versions: Q8_0 (~3 GB) `ollama run hf.co/afrideva/stablelm-3b-4e1t-GGUF:q8_0`
### Other ways to run it
1. Run it as published (BF16, needs ~5.59 GB, from [huggingface.co/stabilityai](https://huggingface.co/stabilityai/stablelm-3b-4e1t/tree/fa4a6a92fca83c3b4223a3c9bf792887090ebfba))
```sh
uv run --with torch --with 'transformers<5' python -c "from transformers import pipeline; print(pipeline('text-generation', model='stabilityai/stablelm-3b-4e1t')('Once upon a time', max_new_tokens=40)[0]['generated_text'])"
```
Model repository and documentation: [huggingface.co/stabilityai](https://huggingface.co/stabilityai/stablelm-3b-4e1t)
[interactive version](https://whatmodel.sh/model/stablelm-3b-4e1t) · [JSON](https://whatmodel.sh/api?format=json&all=1)