Instructions to use legesher/language-decoded-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use legesher/language-decoded-lora with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="legesher/language-decoded-lora")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("legesher/language-decoded-lora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use legesher/language-decoded-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "legesher/language-decoded-lora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "legesher/language-decoded-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/legesher/language-decoded-lora

SGLang

How to use legesher/language-decoded-lora with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "legesher/language-decoded-lora" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "legesher/language-decoded-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "legesher/language-decoded-lora" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "legesher/language-decoded-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Desktop
Docker Model Runner
How to use legesher/language-decoded-lora with Docker Model Runner:
```
docker model run hf.co/legesher/language-decoded-lora
```

language-decoded-lora

Commit History

Oct 13

09:12
docs: list seed 123 for every Phase 3 condition; drop the batch note⁠

madiedgar

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5310edc
09:07
docs: register the October 2026 seed-123 adapters in the card and manifest⁠

madiedgar

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0d5fd0b
08:49
phase-2-the-stack-v1-condition-3-zh-5k-seed123 (#16)⁠

madiedgar +1: rafaym

1cfdcc8
06:42
open condition-5-zh-5k-c4ai-aya-expanse-32b-seed123 (#15)⁠

madiedgar +1: rafaym

93769f8
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Oct 12

22:07
add condition-5-ur-5k-c4ai-aya-expanse-32b-seed123 (#14)⁠

madiedgar +1: rafaym

5d79203

Jul 12

08:01
Add Attribution & takedown section (#13)⁠

madiedgar

03f675f
04:52
Relicense to cc-by-nc-4.0 (inherits CohereLabs/tiny-aya-base CC-BY-NC-4.0; adapters are adapted material of the NC-licensed base)

madiedgar

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9d15d7b

May 31

11:43
docs: delineate Phase 2 (Stack v1) vs Phase 3 (Stack v2-dedup) adapters (#12)⁠

madiedgar

adeb1c7
11:05
docs: add arxiv: tags for paper bibliography anchors (#11)⁠

madiedgar

aa01d9a
10:16
docs(readme): align with canonical source-of-truth (cond-5 adapters, source-file control, refined extractor) (#10)⁠

madiedgar

06802f3
09:58
docs(readme): cond-5 refined-extractor banner + Phase 3 staleness fixes (#9)⁠

madiedgar

625893e

May 22

22:22
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May 21

03:01
Rename folder with seed name

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01:03
rename: correct cond-3 data-source label — native-code, not the-stack-v1 (#8)⁠

madiedgar

78f7bc3
00:49
rename: drop "phase-2-" prefix on cond-3 adapter, match cond-5 naming⁠

Madison (Pfaff) Edgar

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Mar 31

03:33
docs: add condition-1-en-32k to Model Structure table (#7)⁠

madiedgar

6ac3acd
03:33
chore: move root adapter to condition-1-en-32k/ subdirectory (#6)⁠

madiedgar

e4ca1d0
03:26
docs: fix CITATION.cff url to match repo, set correct type (#5)⁠

madiedgar

dddcb1a
03:26
feat: consolidate all condition adapters into hub repo subdirectories (#4)⁠

madiedgar

0a09c3f

Commit History

Oct 13

docs: list seed 123 for every Phase 3 condition; drop the batch note⁠

docs: register the October 2026 seed-123 adapters in the card and manifest⁠

phase-2-the-stack-v1-condition-3-zh-5k-seed123 (#16)⁠

open condition-5-zh-5k-c4ai-aya-expanse-32b-seed123 (#15)⁠

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Oct 12

add condition-5-ur-5k-c4ai-aya-expanse-32b-seed123 (#14)⁠

Jul 12

Add Attribution & takedown section (#13)⁠

Relicense to cc-by-nc-4.0 (inherits CohereLabs/tiny-aya-base CC-BY-NC-4.0; adapters are adapted material of the NC-licensed base)

May 31

docs: delineate Phase 2 (Stack v1) vs Phase 3 (Stack v2-dedup) adapters (#12)⁠

docs: add arxiv: tags for paper bibliography anchors (#11)⁠

docs(readme): align with canonical source-of-truth (cond-5 adapters, source-file control, refined extractor) (#10)⁠

docs(readme): cond-5 refined-extractor banner + Phase 3 staleness fixes (#9)⁠

May 22

Upload folder using huggingface_hub

May 21

Rename folder with seed name

Delete tiny-aya-base/condition-5-zh-5k-c4ai-aya-expanse-32b

Upload 3 files

May 19

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

rename: correct cond-3 data-source label — native-code, not the-stack-v1 (#8)⁠

rename: drop "phase-2-" prefix on cond-3 adapter, match cond-5 naming⁠

May 18

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

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Upload folder using huggingface_hub

May 14

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May 13

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Upload folder using huggingface_hub

Upload 20 files

Upload 21 files

Upload 20 files

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Upload folder using huggingface_hub

Mar 31

docs: add condition-1-en-32k to Model Structure table (#7)⁠

chore: move root adapter to condition-1-en-32k/ subdirectory (#6)⁠

docs: fix CITATION.cff url to match repo, set correct type (#5)⁠

feat: consolidate all condition adapters into hub repo subdirectories (#4)⁠