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Qwen3.8-27B-Fimi-4

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Hourly Usage

Performance Metrics

Median Total Time

22.01s

Median TTFT

1.25s

Median Prefill TPS

1789.55

Median Gen TPS

34.43

Model Information

Context Size

262144

Quantization

r128 on INT8

Engine

vllm

Creation Method

Unknown

Model Type

Qwen38

Chat Template

Qwen3.5

Reasoning

Yes

Vision

Yes

Parameters

27B

Added At

9/28/2026

base_model:

  • Danielbrdz/Barcenas-Qwen3.8-27B-Fable
  • beyoru/Kiwen1.1-27B
  • empero-ai/Qwythos-27B-v1
  • Qwen/Qwen3.5-27B
  • bottlecapai/ThinkingCap-Qwen3.6-27B
  • TeichAI/Qwen3.8-27B-Fable-Distill
  • allenai/tmax-27b
  • migtissera/Tess-4-27B library_name: transformers tags:
  • mergekit
  • merge

merged

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Reinforced Agent Merging Plus (Tensor-Local) merge method using Qwen/Qwen3.5-27B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: Qwen/Qwen3.5-27B
chat_template: qwen
dtype: bfloat16
merge_method: ramplus_tl
modules:
  default:
    slices:
    - sources:
      - layer_range: [0, 0]
        model: Danielbrdz/Barcenas-Qwen3.8-27B-Fable
      - layer_range: [0, 0]
        model: allenai/tmax-27b
      - layer_range: [0, 0]
        model: migtissera/Tess-4-27B
      - layer_range: [0, 0]
        model: beyoru/Kiwen1.1-27B
      - layer_range: [0, 0]
        model: empero-ai/Qwythos-27B-v1
      - layer_range: [0, 0]
        model: bottlecapai/ThinkingCap-Qwen3.6-27B
      - layer_range: [0, 0]
        model: TeichAI/Qwen3.8-27B-Fable-Distill
      - layer_range: [0, 0]
        model: Qwen/Qwen3.5-27B
  model.language_model.layers:
    slices:
    - sources:
      - layer_range: [0, 64]
        model: Danielbrdz/Barcenas-Qwen3.8-27B-Fable
      - layer_range: [0, 64]
        model: allenai/tmax-27b
      - layer_range: [0, 64]
        model: migtissera/Tess-4-27B
      - layer_range: [0, 64]
        model: beyoru/Kiwen1.1-27B
      - layer_range: [0, 64]
        model: empero-ai/Qwythos-27B-v1
      - layer_range: [0, 64]
        model: bottlecapai/ThinkingCap-Qwen3.6-27B
      - layer_range: [0, 64]
        model: TeichAI/Qwen3.8-27B-Fable-Distill
      - layer_range: [0, 64]
        model: Qwen/Qwen3.5-27B
  model.visual.blocks:
    slices:
    - sources:
      - layer_range: [0, 27]
        model: Danielbrdz/Barcenas-Qwen3.8-27B-Fable
      - layer_range: [0, 27]
        model: allenai/tmax-27b
      - layer_range: [0, 27]
        model: migtissera/Tess-4-27B
      - layer_range: [0, 27]
        model: beyoru/Kiwen1.1-27B
      - layer_range: [0, 27]
        model: empero-ai/Qwythos-27B-v1
      - layer_range: [0, 27]
        model: bottlecapai/ThinkingCap-Qwen3.6-27B
      - layer_range: [0, 27]
        model: TeichAI/Qwen3.8-27B-Fable-Distill
      - layer_range: [0, 27]
        model: Qwen/Qwen3.5-27B
out_dtype: bfloat16
parameters:
  r: 0.25