Compare model versions

Diff

Before

Gemma 12B FABLE CODER Addition 
gemma-4-12B-coder-fable5-composer2.5-v1.gguf - Python coder Agent


| Model Range | Typical Role                               |
| ----------- | ------------------------------------------ |
|Gemma Fable v2 |gemma-4-12B-agentic-fable5-composer2.5-v2 coding agent with toool
|OxCoder-9B | OxCoder-9B-apex.gguf
| Gemma 12B FABLE CODER Addition       | Python Agent |
| Qwen3.8-9B-Distill-i-quality.gguf       | Qwen3.8-9B-Distill-i-quality.gguf             |
|MiMo-V2.6-Distill-Qwen-9B.gguf.  and colgrep-agent-2B        | Agentic / Coding expert.                      |
| Qwythos-9B-apex       |  deeply uncensored Qwen3.5-9B base                |
| Ornith-1.0-9B     | Coding Agent     |
| model-Ornith-1.5-9B | **For general tasks** : temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0 **For precise coding tasks** : temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0|
| NeoHorse-1-4B | causal language model and an initial prototype on the path toward recursive self-improvement (RSI)|

After

Gemma 12B FABLE CODER Addition 
gemma-4-12B-coder-fable5-composer2.5-v1.gguf - Python coder Agent


| Model Range | Typical Role                               |
| ----------- | ------------------------------------------ |
|Gemma Fable v2 |gemma-4-12B-agentic-fable5-composer2.5-v2 coding agent with toool
|OxCoder-9B | OxCoder-9B-apex.gguf
| Gemma 12B FABLE CODER Addition       | Python Agent |
| Qwen3.8-9B-Distill-i-quality.gguf       | Qwen3.8-9B-Distill-i-quality.gguf             |
|MiMo-V2.6-Distill-Qwen-9B.gguf.  and colgrep-agent-2B  and qwen3.5B-2b-Agentic-RL.gguf      | Agentic / Coding expert.                      |
| Qwythos-9B-apex       |  deeply uncensored Qwen3.5-9B base                |
| Ornith-1.0-9B     | Coding Agent     |
| model-Ornith-1.5-9B | **For general tasks** : temperature=1.0, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=1.5, repetition_penalty=1.0 **For precise coding tasks** : temperature=0.6, top_p=0.95, top_k=20, min_p=0.0, presence_penalty=0.0, repetition_penalty=1.0|
| NeoHorse-1-4B | causal language model and an initial prototype on the path toward recursive self-improvement (RSI)|