Instructions to use Taykhoom/Evo2-20B-1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/Evo2-20B-1M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Taykhoom/Evo2-20B-1M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Taykhoom/Evo2-20B-1M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Taykhoom/Evo2-20B-1M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Taykhoom/Evo2-20B-1M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Taykhoom/Evo2-20B-1M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Taykhoom/Evo2-20B-1M
- SGLang
How to use Taykhoom/Evo2-20B-1M 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 "Taykhoom/Evo2-20B-1M" \ --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": "Taykhoom/Evo2-20B-1M", "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 "Taykhoom/Evo2-20B-1M" \ --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": "Taykhoom/Evo2-20B-1M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Taykhoom/Evo2-20B-1M with Docker Model Runner:
docker model run hf.co/Taykhoom/Evo2-20B-1M
Download config.json from Taykhoom/Evo2-20B-1M: direct link, hf CLI and curl.
- Browser
- Download file 2.17 kB
-
https://huggingface.co/Taykhoom/Evo2-20B-1M/resolve/main/config.json
- Command line
-
hf download hf://Taykhoom/Evo2-20B-1M/config.json
-
curl -L -o config.json https://huggingface.co/Taykhoom/Evo2-20B-1M/resolve/main/config.json
2.17 kB
| { | |
| "architectures": [ | |
| "Evo2ForCausalLM" | |
| ], | |
| "attn_block_dtype": "bfloat16", | |
| "attn_layer_idxs": [ | |
| 3, | |
| 10, | |
| 17 | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_evo2.Evo2Config", | |
| "AutoModel": "modeling_evo2.Evo2Model", | |
| "AutoModelForCausalLM": "modeling_evo2.Evo2ForCausalLM" | |
| }, | |
| "column_split": true, | |
| "column_split_hyena": false, | |
| "dtype": "bfloat16", | |
| "eps": 1e-06, | |
| "evo2_style_activations": true, | |
| "final_norm": true, | |
| "hcl_filter_groups": 8192, | |
| "hcl_layer_idxs": [ | |
| 2, | |
| 6, | |
| 9, | |
| 13, | |
| 16, | |
| 20, | |
| 23 | |
| ], | |
| "hcm_filter_groups": 512, | |
| "hcm_filter_length": 128, | |
| "hcm_layer_idxs": [ | |
| 1, | |
| 5, | |
| 8, | |
| 12, | |
| 15, | |
| 19, | |
| 22 | |
| ], | |
| "hcs_filter_groups": 512, | |
| "hcs_filter_length": 7, | |
| "hcs_layer_idxs": [ | |
| 0, | |
| 4, | |
| 7, | |
| 11, | |
| 14, | |
| 18, | |
| 21 | |
| ], | |
| "hidden_size": 8192, | |
| "hyena_block_dtype": "bfloat16", | |
| "hyena_filter_groups": 1, | |
| "hyena_flip_x1x2": false, | |
| "hyena_out_proj_bias": true, | |
| "inference_mode": true, | |
| "inner_mlp_size": 22528, | |
| "inner_size_multiple_of": 128, | |
| "interleave": true, | |
| "log_intermediate_values": false, | |
| "make_vocab_size_divisible_by": 8, | |
| "max_batch_size": 1, | |
| "max_seqlen": 1048576, | |
| "mha_out_proj_bias": true, | |
| "mlp_activation": "gelu", | |
| "mlp_dtype": "bfloat16", | |
| "mlp_init_method": "torch.nn.init.zeros_", | |
| "mlp_output_init_method": "torch.nn.init.zeros_", | |
| "model_parallel_size": 1, | |
| "model_type": "evo2", | |
| "num_attention_heads": 64, | |
| "num_filters": 8192, | |
| "num_layers": 24, | |
| "pipe_parallel_size": 1, | |
| "prefill_style": "fft", | |
| "print_activations": false, | |
| "proj_groups": 1, | |
| "qkv_proj_bias": false, | |
| "rotary_emb_base": 1000000, | |
| "rotary_emb_scaling_factor": 128, | |
| "short_filter_bias": false, | |
| "short_filter_length": 3, | |
| "smeared_gqa": false, | |
| "state_size": 16, | |
| "tie_embeddings": true, | |
| "transformers_version": "4.57.6", | |
| "use_cache": true, | |
| "use_flash_attn": false, | |
| "use_flash_depthwise": false, | |
| "use_flash_rmsnorm": false, | |
| "use_flashfft": false, | |
| "use_fp8_input_projections": true, | |
| "use_interpolated_rotary_pos_emb": true, | |
| "use_laughing_hyena": false, | |
| "vocab_size": 512, | |
| "model_max_length": 1048576 | |
| } | |