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
```

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

#18

by madiedgar - opened 16 days ago

base: refs/heads/main

←

from: refs/pr/18

Discussion Files changed

+13

-5

Files changed (2) hide show

MANIFEST.md +8 -0
README.md +5 -5

MANIFEST.md CHANGED Viewed

@@ -9,25 +9,33 @@ Generated from the repo file tree; one row per directory containing `adapter_con
 | Adapter path | Condition | Seed |
 | --- | --- | --- |
 | `tiny-aya-base/condition-1-en-20k-seed42/` | 1 | 42 |
 | `tiny-aya-base/condition-1-en-5k-seed123/` | 1 | 123 |
 | `tiny-aya-base/condition-1-en-5k-seed42/` | 1 | 42 |
 | `tiny-aya-base/condition-1-en-5k-seed456/` | 1 | 456 |
 | `tiny-aya-base/condition-2-es-20k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-es-5k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-es-5k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-es-5k-seed456/` | 2 | 456 |
 | `tiny-aya-base/condition-2-ur-20k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-ur-5k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-ur-5k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-ur-5k-seed456/` | 2 | 456 |
 | `tiny-aya-base/condition-2-zh-20k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-zh-5k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-zh-5k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-zh-5k-seed456/` | 2 | 456 |
 | `tiny-aya-base/condition-3-zh-5k-native-code-seed42/` | 3 | 42 |
 | `tiny-aya-base/condition-5-es-5k-c4ai-aya-expanse-32b-seed42/` | 5 | 42 |
 | `tiny-aya-base/condition-5-ur-5k-c4ai-aya-expanse-32b-seed42/` | 5 | 42 |
 | `tiny-aya-base/condition-5-zh-5k-c4ai-aya-expanse-32b-seed42/` | 5 | 42 |
 ## Phase 2 — preliminary adapters (`bigcode/the-stack` v1, Legesher v0.5.1 / v0.6.0)

 | Adapter path | Condition | Seed |
 | --- | --- | --- |
 | `tiny-aya-base/condition-1-en-20k-seed42/` | 1 | 42 |
+| `tiny-aya-base/condition-1-en-20k-seed123/` | 1 | 123 |
 | `tiny-aya-base/condition-1-en-5k-seed123/` | 1 | 123 |
 | `tiny-aya-base/condition-1-en-5k-seed42/` | 1 | 42 |
 | `tiny-aya-base/condition-1-en-5k-seed456/` | 1 | 456 |
 | `tiny-aya-base/condition-2-es-20k-seed42/` | 2 | 42 |
+| `tiny-aya-base/condition-2-es-20k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-es-5k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-es-5k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-es-5k-seed456/` | 2 | 456 |
 | `tiny-aya-base/condition-2-ur-20k-seed42/` | 2 | 42 |
+| `tiny-aya-base/condition-2-ur-20k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-ur-5k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-ur-5k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-ur-5k-seed456/` | 2 | 456 |
 | `tiny-aya-base/condition-2-zh-20k-seed42/` | 2 | 42 |
+| `tiny-aya-base/condition-2-zh-20k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-zh-5k-seed123/` | 2 | 123 |
 | `tiny-aya-base/condition-2-zh-5k-seed42/` | 2 | 42 |
 | `tiny-aya-base/condition-2-zh-5k-seed456/` | 2 | 456 |
 | `tiny-aya-base/condition-3-zh-5k-native-code-seed42/` | 3 | 42 |
+| `tiny-aya-base/condition-3-zh-5k-native-code-seed123/` | 3 | 123 |
 | `tiny-aya-base/condition-5-es-5k-c4ai-aya-expanse-32b-seed42/` | 5 | 42 |
+| `tiny-aya-base/condition-5-es-5k-c4ai-aya-expanse-32b-seed123/` | 5 | 123 |
 | `tiny-aya-base/condition-5-ur-5k-c4ai-aya-expanse-32b-seed42/` | 5 | 42 |
+| `tiny-aya-base/condition-5-ur-5k-c4ai-aya-expanse-32b-seed123/` | 5 | 123 |
 | `tiny-aya-base/condition-5-zh-5k-c4ai-aya-expanse-32b-seed42/` | 5 | 42 |
+| `tiny-aya-base/condition-5-zh-5k-c4ai-aya-expanse-32b-seed123/` | 5 | 123 |
 ## Phase 2 — preliminary adapters (`bigcode/the-stack` v1, Legesher v0.5.1 / v0.6.0)

README.md CHANGED Viewed

@@ -63,11 +63,11 @@ Each subdirectory under `tiny-aya-base/` is one trained condition × file-volume
 | Subdirectory (under `tiny-aya-base/`)                                    | Condition | Training data                                                                                                                                  | Seeds      |
 | ------------------------------------------------------------------------ | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | ---------- |
 | `tiny-aya-base/condition-1-en-5k-seed{42,123,456}/`                      | 1         | Raw English Python from `bigcode/the-stack-v2-dedup` (5k file subset)                                                                          | 42, 123, 456 |
-| `tiny-aya-base/condition-1-en-20k-seed42/`                               | 1         | Raw English Python (20k file subset)                                                                                                           | 42         |
 | `tiny-aya-base/condition-2-{zh,es,ur}-5k-seed{42,123,456}/`             | 2         | The **same 5k subset as cond-1**, processed through Legesher v0.7.3 — Python's reserved words (keywords, exceptions, built-in functions, numerical system for some target languages) translated to the target language; user logic preserved | 42, 123, 456 |
-| `tiny-aya-base/condition-2-{zh,es,ur}-20k-seed42/`                      | 2         | The **same 20k subset as cond-1**, processed through Legesher v0.7.3                                                                           | 42         |
-| `tiny-aya-base/condition-3-zh-5k-native-code-seed42/`                   | 3         | Community-collected raw Chinese code from varied online public-source repositories (different source-file population from cond-1/2/5 by design) | 42         |
-| `tiny-aya-base/condition-5-{zh,es,ur}-5k-c4ai-aya-expanse-32b-seed42/`  | 5         | The **same 5k subset as cond-1**, first transpiled by Legesher v0.7.3 to translate Python's reserved words, then run through `c4ai-aya-expanse-32b` via the Cohere API to translate the remaining content (identifiers, comments, docstrings, string literals) | 42         |
 **Condition 4 ("Community-Contributed Native Code")** is pending sufficient direct community contributions to the [`legesher/legesher-native-code`](https://huggingface.co/spaces/legesher/legesher-native-code) HF Space; no cond-4 adapter exists yet.
@@ -106,7 +106,7 @@ The two adapter generations are distinguished by **folder location and source co
 | Generation | Location in this repo | Source corpus | Legesher | Tier / seeds | Cite for paper? |
 | --- | --- | --- | --- | --- | --- |
-| **Phase 3 (paper)** | `tiny-aya-base/…-seed*/` | [`bigcode/the-stack-v2-dedup`](https://huggingface.co/datasets/bigcode/the-stack-v2-dedup) | v0.7.3 | 5k (3 seeds) + 20k (1 seed) | ✅ Yes |
 | **Phase 2 (preliminary)** | flat top-level `condition-*/` | [`bigcode/the-stack`](https://huggingface.co/datasets/bigcode/the-stack) (v1) | v0.5.1 / v0.6.0 | 5k / 32k (1 seed) | ❌ No |
 A complete, machine-readable path → phase → corpus → condition map is in [`MANIFEST.md`](MANIFEST.md). Training-data provenance for each condition is detailed on [`language-decoded-data`](https://huggingface.co/datasets/legesher/language-decoded-data); the phase comparison is in the ["Phase 2 → Phase 3 at a glance"](https://huggingface.co/datasets/legesher/language-decoded-experiments#phase-2--phase-3-at-a-glance) table on the experiments repo.

 | Subdirectory (under `tiny-aya-base/`)                                    | Condition | Training data                                                                                                                                  | Seeds      |
 | ------------------------------------------------------------------------ | --------- | ---------------------------------------------------------------------------------------------------------------------------------------------- | ---------- |
 | `tiny-aya-base/condition-1-en-5k-seed{42,123,456}/`                      | 1         | Raw English Python from `bigcode/the-stack-v2-dedup` (5k file subset)                                                                          | 42, 123, 456 |
+| `tiny-aya-base/condition-1-en-20k-seed{42,123}/`                               | 1         | Raw English Python (20k file subset)                                                                                                           | 42, 123    |
 | `tiny-aya-base/condition-2-{zh,es,ur}-5k-seed{42,123,456}/`             | 2         | The **same 5k subset as cond-1**, processed through Legesher v0.7.3 — Python's reserved words (keywords, exceptions, built-in functions, numerical system for some target languages) translated to the target language; user logic preserved | 42, 123, 456 |
+| `tiny-aya-base/condition-2-{zh,es,ur}-20k-seed{42,123}/`                      | 2         | The **same 20k subset as cond-1**, processed through Legesher v0.7.3                                                                           | 42, 123    |
+| `tiny-aya-base/condition-3-zh-5k-native-code-seed{42,123}/`                   | 3         | Community-collected raw Chinese code from varied online public-source repositories (different source-file population from cond-1/2/5 by design) | 42, 123    |
+| `tiny-aya-base/condition-5-{zh,es,ur}-5k-c4ai-aya-expanse-32b-seed{42,123}/`  | 5         | The **same 5k subset as cond-1**, first transpiled by Legesher v0.7.3 to translate Python's reserved words, then run through `c4ai-aya-expanse-32b` via the Cohere API to translate the remaining content (identifiers, comments, docstrings, string literals) | 42, 123    |
 **Condition 4 ("Community-Contributed Native Code")** is pending sufficient direct community contributions to the [`legesher/legesher-native-code`](https://huggingface.co/spaces/legesher/legesher-native-code) HF Space; no cond-4 adapter exists yet.
 | Generation | Location in this repo | Source corpus | Legesher | Tier / seeds | Cite for paper? |
 | --- | --- | --- | --- | --- | --- |
+| **Phase 3 (paper)** | `tiny-aya-base/…-seed*/` | [`bigcode/the-stack-v2-dedup`](https://huggingface.co/datasets/bigcode/the-stack-v2-dedup) | v0.7.3 | 5k (3 seeds for cond-1 and cond-2; 2 seeds for cond-3 and cond-5) + 20k (2 seeds) | ✅ Yes |
 | **Phase 2 (preliminary)** | flat top-level `condition-*/` | [`bigcode/the-stack`](https://huggingface.co/datasets/bigcode/the-stack) (v1) | v0.5.1 / v0.6.0 | 5k / 32k (1 seed) | ❌ No |
 A complete, machine-readable path → phase → corpus → condition map is in [`MANIFEST.md`](MANIFEST.md). Training-data provenance for each condition is detailed on [`language-decoded-data`](https://huggingface.co/datasets/legesher/language-decoded-data); the phase comparison is in the ["Phase 2 → Phase 3 at a glance"](https://huggingface.co/datasets/legesher/language-decoded-experiments#phase-2--phase-3-at-a-glance) table on the experiments repo.