Text Generation
English
deepseek_v4
deepseek
Mixture of Experts
sovereign
agentic
speculative-decoding
4-bit precision
gptq
Instructions to use Codexcoder/deepseek-v4-sovereign with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- vLLM
How to use Codexcoder/deepseek-v4-sovereign with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Codexcoder/deepseek-v4-sovereign" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Codexcoder/deepseek-v4-sovereign", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Codexcoder/deepseek-v4-sovereign
- SGLang
How to use Codexcoder/deepseek-v4-sovereign 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 "Codexcoder/deepseek-v4-sovereign" \ --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": "Codexcoder/deepseek-v4-sovereign", "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 "Codexcoder/deepseek-v4-sovereign" \ --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": "Codexcoder/deepseek-v4-sovereign", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Codexcoder/deepseek-v4-sovereign with Docker Model Runner:
docker model run hf.co/Codexcoder/deepseek-v4-sovereign
SOVEREIGN — sovereign AI model card (derived from DeepSeek-V4-Flash-0731): specs, config, tokenizer, generation config
f6fec0c verified | { | |
| "architectures": ["DeepseekV4ForCausalLM"], | |
| "model_type": "deepseek_v4", | |
| "model_id": "sovereign/deepseek-v4-sovereign", | |
| "base_model": "deepseek-ai/DeepSeek-V4-Flash-0731", | |
| "torch_dtype": "bfloat16", | |
| "vocab_size": 129280, | |
| "hidden_size": 7168, | |
| "num_hidden_layers": 61, | |
| "num_attention_heads": 64, | |
| "num_key_value_heads": 8, | |
| "head_dim": 128, | |
| "num_experts": 256, | |
| "num_experts_per_tok": 8, | |
| "intermediate_size": 18432, | |
| "max_position_embeddings": 1048576, | |
| "rope_theta": 1000000.0, | |
| "speculative_decoding": { | |
| "method": "dspark", | |
| "num_speculative_tokens": 7, | |
| "draft_sample_method": "greedy" | |
| }, | |
| "moe": { | |
| "backend": "deep_gemm_mega_moe", | |
| "expert_parallel": true | |
| }, | |
| "attention": { | |
| "use_fp4_indexer_cache": true, | |
| "swa_full_tokens_ratio": 0.1 | |
| }, | |
| "quantization_config": { | |
| "quant_method": "gptq", | |
| "bits": 4, | |
| "group_size": 128, | |
| "damp_percent": 0.01 | |
| }, | |
| "transformers_version": "4.46.0" | |
| } | |