Instructions to use altomek/Granite-20B-Code-Instruct-8bpw-EXL2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use altomek/Granite-20B-Code-Instruct-8bpw-EXL2 with Transformers:

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

pipe = pipeline("text-generation", model="altomek/Granite-20B-Code-Instruct-8bpw-EXL2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("altomek/Granite-20B-Code-Instruct-8bpw-EXL2")
model = AutoModelForCausalLM.from_pretrained("altomek/Granite-20B-Code-Instruct-8bpw-EXL2", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use altomek/Granite-20B-Code-Instruct-8bpw-EXL2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "altomek/Granite-20B-Code-Instruct-8bpw-EXL2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "altomek/Granite-20B-Code-Instruct-8bpw-EXL2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/altomek/Granite-20B-Code-Instruct-8bpw-EXL2

SGLang

How to use altomek/Granite-20B-Code-Instruct-8bpw-EXL2 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 "altomek/Granite-20B-Code-Instruct-8bpw-EXL2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "altomek/Granite-20B-Code-Instruct-8bpw-EXL2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "altomek/Granite-20B-Code-Instruct-8bpw-EXL2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "altomek/Granite-20B-Code-Instruct-8bpw-EXL2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use altomek/Granite-20B-Code-Instruct-8bpw-EXL2 with Docker Model Runner:
```
docker model run hf.co/altomek/Granite-20B-Code-Instruct-8bpw-EXL2
```

Granite-20B-Code-Instruct-8bpw-EXL2 / README.md

altomek

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metadata

pipeline_tag: text-generation
base_model: ibm-granite/granite-20b-code-instruct
inference: false
license: apache-2.0
datasets:
  - bigcode/commitpackft
  - TIGER-Lab/MathInstruct
  - meta-math/MetaMathQA
  - glaiveai/glaive-code-assistant-v3
  - glaive-function-calling-v2
  - bugdaryan/sql-create-context-instruction
  - garage-bAInd/Open-Platypus
  - nvidia/HelpSteer
metrics:
  - code_eval
library_name: transformers
tags:
  - code
  - granite
model-index:
  - name: granite-20b-code-instruct
    results:
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalSynthesis(Python)
        metrics:
          - name: pass@1
            type: pass@1
            value: 60.4
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalSynthesis(JavaScript)
        metrics:
          - name: pass@1
            type: pass@1
            value: 53.7
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalSynthesis(Java)
        metrics:
          - name: pass@1
            type: pass@1
            value: 58.5
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalSynthesis(Go)
        metrics:
          - name: pass@1
            type: pass@1
            value: 42.1
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalSynthesis(C++)
        metrics:
          - name: pass@1
            type: pass@1
            value: 45.7
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalSynthesis(Rust)
        metrics:
          - name: pass@1
            type: pass@1
            value: 42.7
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalExplain(Python)
        metrics:
          - name: pass@1
            type: pass@1
            value: 44.5
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalExplain(JavaScript)
        metrics:
          - name: pass@1
            type: pass@1
            value: 42.7
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalExplain(Java)
        metrics:
          - name: pass@1
            type: pass@1
            value: 49.4
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalExplain(Go)
        metrics:
          - name: pass@1
            type: pass@1
            value: 32.3
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalExplain(C++)
        metrics:
          - name: pass@1
            type: pass@1
            value: 42.1
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalExplain(Rust)
        metrics:
          - name: pass@1
            type: pass@1
            value: 18.3
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalFix(Python)
        metrics:
          - name: pass@1
            type: pass@1
            value: 43.9
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalFix(JavaScript)
        metrics:
          - name: pass@1
            type: pass@1
            value: 43.9
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalFix(Java)
        metrics:
          - name: pass@1
            type: pass@1
            value: 45.7
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalFix(Go)
        metrics:
          - name: pass@1
            type: pass@1
            value: 41.5
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalFix(C++)
        metrics:
          - name: pass@1
            type: pass@1
            value: 41.5
            veriefied: false
      - task:
          type: text-generation
        dataset:
          type: bigcode/humanevalpack
          name: HumanEvalFix(Rust)
        metrics:
          - name: pass@1
            type: pass@1
            value: 29.9
            veriefied: false

Granite-20B-Code-Instruct

ExLlamav2 8 bpw quants of https://huggingface.co/ibm-granite/granite-20b-code-instruct