How to use from
MLX LM
Generate or start a chat session
# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "SWiesmann/ukisai-Swift-Qwen3.8-27b-Q4-FP16-MTPLX"
Run an OpenAI-compatible server
# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "SWiesmann/ukisai-Swift-Qwen3.8-27b-Q4-FP16-MTPLX"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "SWiesmann/ukisai-Swift-Qwen3.8-27b-Q4-FP16-MTPLX",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'
Quick Links

ukisai-Swift-Qwen3.8-27b-Q4-FP16-MTPLX

MTPLX-branded multi-token-prediction model for Apple Silicon (MLX). Forged with MTPLX Forge from ukisai/Swift-Qwen3.8-27b.

Verification

  • Best depth: D2
  • Multiplier vs autoregressive baseline: 1.64×
  • Verified on: Apple M2 Max
  • Sampler: temperature 0.6 · top_p 0.95 · top_k 20

See mtplx_runtime.json for the full verification record.

Usage

# MTPLX picks this model up automatically when downloaded:
mtplx pull SWiesmann/ukisai-Swift-Qwen3.8-27b-MTPLX
mtplx start chat

License

See LICENSE.

Downloads last month
370
Safetensors
Model size
27B params
Tensor type
U32
·
F16
·
BF16
·
MLX
Hardware compatibility
Log In to add your hardware

4-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for SWiesmann/ukisai-Swift-Qwen3.8-27b-Q4-FP16-MTPLX

Base model

Qwen/Qwen3.8-27B
Quantized
(60)
this model