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Model: NotHereNorThere/Coral-v1.5-0.6B-raw
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---
license: apache-2.0
language:
- en
- zh
base_model:
- Qwen/Qwen3-0.6B
pipeline_tag: text-generation
tags:
- 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](https://github.com/arcee-ai/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 |
```yaml
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](#).
---

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{
"architectures": [
"Qwen3ForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"bos_token_id": 151643,
"dtype": "bfloat16",
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 40960,
"max_window_layers": 28,
"model_type": "qwen3",
"num_attention_heads": 16,
"num_hidden_layers": 28,
"num_key_value_heads": 8,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000,
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "4.57.6",
"use_cache": true,
"use_sliding_window": false,
"vocab_size": 151936
}

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# Coral-v1.5-0.6B merge config (mergekit)
# Method: TIES — computes each finetune's task vector vs the base, trims to the
# strongest deltas, elects a consensus sign per parameter, then merges. Stable
# and quality-preserving (same method as CoralLM-1B). Stays at 0.6B params.
#
# Run:
# mergekit-yaml coral-v1.5-0.6b.yml ./coral-v1.5-0.6b-out --cuda
#
# All donors are Qwen3-0.6B finetunes -> shared tokenizer/arch, native <think>.
base_model: Qwen/Qwen3-0.6B # reference anchor, NOT a contributor
merge_method: ties
dtype: bfloat16
parameters:
normalize: true # keep merged magnitudes sane across 5 contributors
int8_mask: true # memory-light sign mask
models:
# --- Thinking / reasoning (the spicy stars, split across two sources) ---
- model: reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT
parameters:
weight: 0.30
density: 0.5
- model: MihaiPopa-1/Qwen-3-0.6B-Claude-4.7-Opus-Distilled
parameters:
weight: 0.30
density: 0.5
# --- Code ---
- model: suayptalha/Qwen3-0.6B-Code-Expert
parameters:
weight: 0.25
density: 0.5
# --- Uncensored / de-alignment (two sources, kept light so they don't dominate) ---
- model: DavidAU/Qwen3-0.6B-heretic-abliterated-uncensored
parameters:
weight: 0.15
density: 0.5
- model: huihui-ai/Huihui-Qwen3-0.6B-abliterated-v2
parameters:
weight: 0.15
density: 0.5

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{
"add_bos_token": false,
"add_prefix_space": false,
"added_tokens_decoder": {
"151643": {
"content": "<|endoftext|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151644": {
"content": "<|im_start|>",
"lstrip": false,
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"151645": {
"content": "<|im_end|>",
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"special": true
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"151647": {
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"151650": {
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"151651": {
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"151652": {
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
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"151653": {
"content": "<|vision_end|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
"151654": {
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"special": true
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"151655": {
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"rstrip": false,
"single_word": false,
"special": true
},
"151656": {
"content": "<|video_pad|>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": true
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"special": false
},
"151658": {
"content": "</tool_call>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": false
},
"151659": {
"content": "<|fim_prefix|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151660": {
"content": "<|fim_middle|>",
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"rstrip": false,
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"special": false
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"151661": {
"content": "<|fim_suffix|>",
"lstrip": false,
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"single_word": false,
"special": false
},
"151662": {
"content": "<|fim_pad|>",
"lstrip": false,
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"single_word": false,
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"151663": {
"content": "<|repo_name|>",
"lstrip": false,
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"single_word": false,
"special": false
},
"151664": {
"content": "<|file_sep|>",
"lstrip": false,
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"rstrip": false,
"single_word": false,
"special": false
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"151665": {
"content": "<tool_response>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151666": {
"content": "</tool_response>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
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"151667": {
"content": "<think>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
},
"151668": {
"content": "</think>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false,
"special": false
}
},
"additional_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"bos_token": null,
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\n {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}