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.

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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.

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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

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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.

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