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        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B-Instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: Qwen/Qwen2.5-3B
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: stabilityai/stable-code-3b
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ibm-granite/granite-3b-code-base-2k
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
  - sources: 
      - layer_range: [0, 3]
        model: ministral/Ministral-3b-instruct
        parameters: 
          normalize: true
          int8_mask: true
          density: 0.5
          weight: 0.1
          random_seed: 0
          temperature: 0.5
          top_p: 0.65
          inference: true
          max_tokens: 999999999
          stream: true
        normalize: true
        int8_mask: true
        density: 0.5
        weight: 0.1
        random_seed: 0
        temperature: 0.5
        top_p: 0.65
        inference: true
        max_tokens: 999999999
        stream: true
parameters: 
  normalize: true
  int8_mask: true
  density: 0.5
  weight: 0.1
  random_seed: 0
  temperature: 0.5
  top_p: 0.65
  inference: true
  max_tokens: 999999999
  stream: true
normalize: true
int8_mask: true
density: 0.5
weight: 0.1
random_seed: 0
temperature: 0.5
top_p: 0.65
inference: true
max_tokens: 999999999
stream: true
merge_method: passthrough