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Coral-v1.5-0.6B-raw/README.md
ModelHub XC b16693a968 初始化项目,由ModelHub XC社区提供模型
Model: NotHereNorThere/Coral-v1.5-0.6B-raw
Source: Original Platform
2026-06-07 20:42:18 +08:00

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license, language, base_model, pipeline_tag, tags
license language base_model pipeline_tag tags
apache-2.0
en
zh
Qwen/Qwen3-0.6B
text-generation
coral
base
merge
qwen

Coral-v1.5-0.6B-raw

Honestly, just use Coral-v1.5-0.6B instead.

The raw TIES merge of 5 Qwen3-0.6B finetunes, before any fine-tuning. This is the unhealed version of Coral-v1.5-0.6B, coherent enough to be interesting, weird enough to be honest about what a fresh merge looks like.


Behavior (pre-heal)

This model has not been fine-tuned post-merge. Expect:

  • <think> blocks active but unfocused, reasoning style present, structure loose
  • Occasional identity hallucination (confidently invents its own origin)
  • Counting errors in lists (wrong numbering, unclosed formatting)
  • Context retention across turns is unreliable
  • Arithmetic attempts are structurally sound but digits can be wrong
  • Uncensored, refusals removed via abliterated donors

Not recommended for direct use.


Merge Recipe

Method: TIES
Base: Qwen/Qwen3-0.6B
Tool: mergekit

Donor Role Weight Density
reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT Thinking / reasoning 0.30 0.5
MihaiPopa-1/Qwen-3-0.6B-Claude-4.7-Opus-Distilled Claude-style CoT 0.30 0.5
suayptalha/Qwen3-0.6B-Code-Expert Code 0.25 0.5
DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored De-alignment 0.15 0.5
huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2 De-alignment 0.15 0.5
base_model: Qwen/Qwen3-0.6B
merge_method: ties
dtype: bfloat16
parameters:
  normalize: true
  int8_mask: true

Evaluation (pre-heal)

Test Result
Basic greeting Clean response
Identity Hallucinated "Lysandra A." as creator
Exact instruction following ("list 3 fruits") Numbered 3/4/5 instead of 1/2/3
Context retention across turns Re-greeted instead of recalling name
Math (47 × 83) Wrong answer, correct decomposition method
Prime number function ⚠️ Correct code, wrong example predictions
One-sentence explanation Stayed concise
CoT routing ⚠️ Active but unfocused, not yet adaptive
Uncensored Refusals removed

For the healed version with all of the above fixed and quants, see Coral-v1.5-0.6B.