Instructions to use legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k with Transformers:

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

pipe = pipeline("text-generation", model="legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k 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-phase-2-the-stack-v1-condition-1-en-5k"
# 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-phase-2-the-stack-v1-condition-1-en-5k",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k

SGLang

How to use legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k 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-phase-2-the-stack-v1-condition-1-en-5k" \
    --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-phase-2-the-stack-v1-condition-1-en-5k",
		"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-phase-2-the-stack-v1-condition-1-en-5k" \
        --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-phase-2-the-stack-v1-condition-1-en-5k",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k",
    max_seq_length=2048,
)

Docker Model Runner
How to use legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k with Docker Model Runner:
```
docker model run hf.co/legesher/language-decoded-lora-phase-2-the-stack-v1-condition-1-en-5k
```

madiedgar commited on Jul 12

Commit

d2bebe3

verified ·

1 Parent(s): ab98c78

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)

Browse files

Files changed (1) hide show

README.md +15 -15

README.md CHANGED Viewed

@@ -1,23 +1,23 @@
 ---
-license: apache-2.0
 language:
-  - en
 tags:
-  - lora
-  - aya
-  - tiny-aya
-  - multilingual
-  - code
-  - legesher
-  - tiny-aya-expedition
-  - language-decoded
-  - unsloth
-  - phase-2
-  - the-stack-v1
-  - deprecated
 library_name: transformers
 base_model:
-  - CohereLabs/tiny-aya-base
 pipeline_tag: text-generation
 ---

 ---
+license: cc-by-nc-4.0
 language:
+- en
 tags:
+- lora
+- aya
+- tiny-aya
+- multilingual
+- code
+- legesher
+- tiny-aya-expedition
+- language-decoded
+- unsloth
+- phase-2
+- the-stack-v1
+- deprecated
 library_name: transformers
 base_model:
+- CohereLabs/tiny-aya-base
 pipeline_tag: text-generation
 ---