Text Generation
MLX
Safetensors
bailing_hybrid
Mixture of Experts
mixture-of-experts
hybrid-attention
mla
lightning-attention
mxfp4
osaurus
bailing
ling
apple-silicon
conversational
custom_code
Instructions to use OsaurusAI/Ling-2.6-flash-MXFP4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OsaurusAI/Ling-2.6-flash-MXFP4 with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("OsaurusAI/Ling-2.6-flash-MXFP4") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- LM Studio
- Pi new
How to use OsaurusAI/Ling-2.6-flash-MXFP4 with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/Ling-2.6-flash-MXFP4"
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "OsaurusAI/Ling-2.6-flash-MXFP4" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use OsaurusAI/Ling-2.6-flash-MXFP4 with Hermes Agent:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "OsaurusAI/Ling-2.6-flash-MXFP4"
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default OsaurusAI/Ling-2.6-flash-MXFP4
Run Hermes
hermes
- MLX LM
How to use OsaurusAI/Ling-2.6-flash-MXFP4 with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "OsaurusAI/Ling-2.6-flash-MXFP4"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "OsaurusAI/Ling-2.6-flash-MXFP4" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OsaurusAI/Ling-2.6-flash-MXFP4", "messages": [ {"role": "user", "content": "Hello"} ] }'
File size: 1,997 Bytes
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"architectures": [
"BailingMoeV2_5ForCausalLM"
],
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_bailing_moe_v2_5.BailingMoeV2_5Config",
"AutoModel": "modeling_bailing_moe_v2_5.BailingMoeV2_5Model",
"AutoModelForCausalLM": "modeling_bailing_moe_v2_5.BailingMoeV2_5ForCausalLM"
},
"embedding_dropout": 0.0,
"eos_token_id": 156895,
"first_k_dense_replace": 1,
"group_norm_size": 4,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 9216,
"kv_lora_rank": 512,
"layer_group_size": 8,
"linear_silu": false,
"max_position_embeddings": 131072,
"max_window_layers": 20,
"moe_intermediate_size": 1024,
"moe_router_enable_expert_bias": true,
"moe_shared_expert_intermediate_size": 1024,
"mtp_loss_scaling_factor": 0,
"n_group": 8,
"num_attention_heads": 32,
"num_experts": 256,
"num_experts_per_tok": 8,
"num_hidden_layers": 32,
"num_key_value_heads": 32,
"num_kv_heads_for_linear_attn": 32,
"num_nextn_predict_layers": 1,
"num_shared_experts": 1,
"output_dropout": 0.0,
"output_router_logits": false,
"pad_token_id": 156892,
"partial_rotary_factor": 0.5,
"q_lora_rank": 1536,
"qk_head_dim": 192,
"qk_nope_head_dim": 128,
"qk_rope_head_dim": 64,
"rms_norm_eps": 1e-06,
"rope_interleave": true,
"rope_scaling": null,
"rope_theta": 6000000,
"rotary_dim": 64,
"routed_scaling_factor": 2.5,
"router_dtype": "fp32",
"score_function": "sigmoid",
"scoring_func": "sigmoid",
"seq_aux": true,
"tie_word_embeddings": false,
"topk_group": 4,
"topk_method": "noaux_tc",
"transformers_version": "4.56.2",
"use_bias": false,
"use_cache": true,
"use_qk_norm": true,
"use_qkv_bias": false,
"v_head_dim": 128,
"vocab_size": 157184,
"model_type": "bailing_hybrid",
"torch_dtype": "bfloat16",
"quantization": {
"bits": 4,
"group_size": 32,
"mode": "affine"
},
"weight_format": "mxfp4"
} |