Text Generation
MLX
Safetensors
qwen4_exp
omlx
oq
quantized
apple-silicon
mixture-of-experts
4-bit precision
long-context
conversational
tool-calling
Instructions to use jedisct1/Qwen3.8-Flash-Next-oQ4e-128k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jedisct1/Qwen3.8-Flash-Next-oQ4e-128k 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("jedisct1/Qwen3.8-Flash-Next-oQ4e-128k") 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 Settings
- LM Studio
- Pi
How to use jedisct1/Qwen3.8-Flash-Next-oQ4e-128k with Pi:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k"
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "mlx-lm": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k" } ] } } }Run Pi
# Start Pi in your project directory: pi
- MLX LM
How to use jedisct1/Qwen3.8-Flash-Next-oQ4e-128k with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k", "messages": [ {"role": "user", "content": "Hello"} ] }' - Hermes Agent
How to use jedisct1/Qwen3.8-Flash-Next-oQ4e-128k 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 "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k"
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 jedisct1/Qwen3.8-Flash-Next-oQ4e-128k
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use jedisct1/Qwen3.8-Flash-Next-oQ4e-128k with OpenClaw:
Start the MLX server
# Install MLX LM: uv tool install mlx-lm # Start a local OpenAI-compatible server: mlx_lm.server --model "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k"
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "jedisct1/Qwen3.8-Flash-Next-oQ4e-128k" \ --custom-provider-id mlx-lm \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
| { | |
| "architectures": [ | |
| "Qwen4ExpForConditionalGeneration" | |
| ], | |
| "language_model_only": false, | |
| "model_type": "qwen4_exp", | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 248044, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 248044, | |
| "full_attention_interval": 4, | |
| "hc_count": 4, | |
| "hc_lowrank": 320, | |
| "head_dim": 256, | |
| "heads_per_ngram": 8, | |
| "hidden_act": "silu", | |
| "hidden_size": 2560, | |
| "indexer_budget": 2048, | |
| "indexer_compress_ratio": 4, | |
| "indexer_head_dim": 128, | |
| "indexer_kv_heads": 1, | |
| "indexer_n_heads": 4, | |
| "initializer_range": 0.02, | |
| "layer_types": [ | |
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| "linear_attention", | |
| "linear_attention", | |
| "linear_attention", | |
| "full_attention" | |
| ], | |
| "linear_conv_kernel_dim": 4, | |
| "linear_key_head_dim": 128, | |
| "linear_num_key_heads": 16, | |
| "linear_num_value_heads": 48, | |
| "linear_value_head_dim": 128, | |
| "make_ngram_vocab_size_divisible_by": 128, | |
| "mamba_ssm_dtype": "float32", | |
| "max_position_embeddings": 262144, | |
| "model_type": "qwen4_exp_text", | |
| "moe_intermediate_size": 640, | |
| "mtp": { | |
| "hybrid": true, | |
| "layer_types": [ | |
| "full_attention" | |
| ], | |
| "mtp_use_hidden_state_from_layer": null, | |
| "num_hidden_layers": 1, | |
| "rope_theta": 10000000 | |
| }, | |
| "mtp_num_hidden_layers": 0, | |
| "mtp_use_dedicated_embeddings": false, | |
| "ngram_size": 3, | |
| "ngram_vocab_size_base": 20000000, | |
| "num_attention_heads": 24, | |
| "num_experts": 512, | |
| "num_experts_per_tok": 10, | |
| "num_hidden_layers": 48, | |
| "num_key_value_heads": 2, | |
| "output_gate_type": "sigmoid", | |
| "output_router_logits": false, | |
| "pad_token_id": null, | |
| "partial_rotary_factor": 0.25, | |
| "ple_conv_kernel_size": 4, | |
| "ple_embed_dim": 2560, | |
| "ple_layer_ids": [ | |
| 2 | |
| ], | |
| "rms_norm_eps": 1e-06, | |
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| 11, | |
| 11, | |
| 10 | |
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| "partial_rotary_factor": 0.25, | |
| "rope_theta": 10000000, | |
| "rope_type": "default" | |
| }, | |
| "router_aux_loss_coef": 0.001, | |
| "shared_expert_intermediate_size": 640, | |
| "split_ngram_parts": 128, | |
| "tie_word_embeddings": false, | |
| "use_cache": true, | |
| "vocab_size": 248320 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.8.0.dev0", | |
| "quantization_config": { | |
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| "group_size": 128, | |
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| "bits": 8, | |
| "group_size": 128, | |
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