Instructions to use Nexusflow/NexusRaven-V2-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nexusflow/NexusRaven-V2-13B with Transformers:

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

pipe = pipeline("text-generation", model="Nexusflow/NexusRaven-V2-13B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Nexusflow/NexusRaven-V2-13B")
model = AutoModelForCausalLM.from_pretrained("Nexusflow/NexusRaven-V2-13B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Nexusflow/NexusRaven-V2-13B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Nexusflow/NexusRaven-V2-13B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Nexusflow/NexusRaven-V2-13B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Nexusflow/NexusRaven-V2-13B

SGLang

How to use Nexusflow/NexusRaven-V2-13B 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 "Nexusflow/NexusRaven-V2-13B" \
    --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": "Nexusflow/NexusRaven-V2-13B",
		"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 "Nexusflow/NexusRaven-V2-13B" \
        --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": "Nexusflow/NexusRaven-V2-13B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Nexusflow/NexusRaven-V2-13B with Docker Model Runner:
```
docker model run hf.co/Nexusflow/NexusRaven-V2-13B
```

add AIBOM

#21

by sabato-nocera - opened Jul 25, 2025

base: refs/heads/main

←

from: refs/pr/21

Discussion Files changed

+64

-0

Files changed (1) hide show

Nexusflow_NexusRaven-V2-13B.json +64 -0

Nexusflow_NexusRaven-V2-13B.json ADDED Viewed

	@@ -0,0 +1,64 @@

+{
+    "bomFormat": "CycloneDX",
+    "specVersion": "1.6",
+    "serialNumber": "urn:uuid:aaa58653-c148-4ec5-8106-c5aabf5308df",
+    "version": 1,
+    "metadata": {
+        "timestamp": "2025-07-14T14:10:03.783286+00:00",
+        "component": {
+            "type": "machine-learning-model",
+            "bom-ref": "Nexusflow/NexusRaven-V2-13B-18e24d0a-808c-525f-b85a-fd510b642965",
+            "name": "Nexusflow/NexusRaven-V2-13B",
+            "externalReferences": [
+                {
+                    "url": "https://huggingface.co/Nexusflow/NexusRaven-V2-13B",
+                    "type": "documentation"
+                }
+            ],
+            "modelCard": {
+                "modelParameters": {
+                    "task": "text-generation",
+                    "architectureFamily": "llama",
+                    "modelArchitecture": "LlamaForCausalLM"
+                },
+                "properties": [
+                    {
+                        "name": "library_name",
+                        "value": "transformers"
+                    },
+                    {
+                        "name": "base_model",
+                        "value": "codellama/CodeLlama-13b-Instruct-hf"
+                    }
+                ]
+            },
+            "authors": [
+                {
+                    "name": "Nexusflow"
+                }
+            ],
+            "licenses": [
+                {
+                    "license": {
+                        "name": "other"
+                    }
+                }
+            ],
+            "tags": [
+                "transformers",
+                "safetensors",
+                "llama",
+                "text-generation",
+                "function calling",
+                "arxiv:2308.12950",
+                "base_model:codellama/CodeLlama-13b-Instruct-hf",
+                "base_model:finetune:codellama/CodeLlama-13b-Instruct-hf",
+                "license:other",
+                "autotrain_compatible",
+                "text-generation-inference",
+                "endpoints_compatible",
+                "region:us"
+            ]
+        }
+    }
+}