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Ecu Pilot Fp16 by mach-kernel

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Ecu Pilot Fp16 is an open-source language model by mach-kernel. Features: 35b LLM, VRAM: 72.3GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  Arxiv:2510.00186 Base model:adapter:qwen/qwen3.... Base model:qwen/qwen3.5-35b-a3...   Dbt   Finetuned   Fp16   Lora   Mcp   Quantized   Qwen3 5 moe   Region:us   Safetensors   Sharded   Tensorflow   Tool-calling
Model Card on HF 🤗: https://huggingface.co/mach-kernel/ecu-pilot-fp16 

Ecu Pilot Fp16 Benchmarks

LLME Score: 0.28336
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ecu Pilot Fp16 (mach-kernel/ecu-pilot-fp16)
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Ecu Pilot Fp16 Parameters and Internals

LLM NameEcu Pilot Fp16
Repository 🤗https://huggingface.co/mach-kernel/ecu-pilot-fp16 
Model Nameunsloth/Qwen3.5-35B-A3B-Base
Base Model(s)  Qwen/Qwen3.5-35B-A3B-Base   Qwen/Qwen3.5-35B-A3B-Base
Model Size35b
Required VRAM72.3 GB
Updated2026-04-05
Maintainermach-kernel
Model Typeqwen3_5_moe
Model Files  5.4 GB: 1-of-14   5.4 GB: 2-of-14   5.4 GB: 3-of-14   5.4 GB: 4-of-14   5.4 GB: 5-of-14   5.4 GB: 6-of-14   5.4 GB: 7-of-14   5.4 GB: 8-of-14   5.3 GB: 9-of-14   5.4 GB: 10-of-14   5.4 GB: 11-of-14   5.4 GB: 12-of-14   5.4 GB: 13-of-14   2.2 GB: 14-of-14
Quantization Typefp16
Model ArchitectureQwen3_5MoeForConditionalGeneration
Licenseapache-2.0
Model Max Length262144
Tokenizer ClassTokenizersBackend
Padding Token<|vision_pad|>
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Ecu Pilot Fp16

Best Alternatives
Context / RAM
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...en3.5 35B A3B Abliterated 6bit0K / 28 GB29734
Qwen3.5 35B A3B UD Q4 K XL Mlx0K / 22.9 GB2633
Darwin 35B A3B Opus Q8 GGUF0K / 10.7 GB43113
...n3.5 35B A3B Abliterated Mxfp40K / 18.5 GB31553
Note: green Score (e.g. "73.2") means that the model is better than mach-kernel/ecu-pilot-fp16.

Rank the Ecu Pilot Fp16 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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