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| Folder | Description | Size |
|---|---|---|
model_agent/ 🏆 | AgentWorld + Fable + Opus 4.8 (recommended) | 54 GB |
model_chat/ | Fable SFT + Opus 4.8 (chat focused) | 54 GB |
| File | Format | Size | Description |
|---|---|---|---|
GGUF/...AgentWorld-fable-opus4.8.Q4_K_M.gguf | Q4_K_M | 20 GB | Recommended |
GGUF/...AgentWorld-fable-opus4.8.f16.gguf | F16 | 65 GB | Full precision |
GGUF/...Fable-opus4.8-CHAT.Q4_K_M.gguf | Q4_K_M | 20 GB | Chat version |
GGUF/...Fable-opus4.8-CHAT.f16.gguf | F16 | 65 GB | Chat F16 |
| Adapter | Description | Base |
|---|---|---|
adapter_qwen3.6_35b_opus4.8_sft/ 🔥 | Opus 4.8 reasoning SFT | Huihui 35B |
adapter_qwen3.6_35b_fable_sft/ | Fable SFT (perfect-v1) | Huihui 35B |
adapter/ | Original Fable SFT | Qwen 35B |
1./llama-cli -m GGUF/Qwen-35B-A3B-abliterated-AgentWorld-fable-opus4.8.Q4_K_M.gguf \
2 --temp 0.6 --top-k 25 --top-p 0.9 --min-p 0.1 --repeat-penalty 1.151from transformers import AutoModelForCausalLM
2model = AutoModelForCausalLM.from_pretrained(
3 "hotdogs/qwen35b-a3b-fable-sft-abliterated", subfolder="model_agent"
4)Qwen3.6-35B-A3B-Base (MoE, 256 experts)
│
├── Huihui abliterated (uncensored)
│
├── Fable SFT (perfect-v1, 3,376 rows)
│
├── Opus 4.8 SFT (6,956 rows, Claude reasoning) 🔥
│
└── AgentWorld (tool use, environment simulation) 🏆
bc1qf27cyk3vmugcdyv9xdtuv5jwz37863crpj5c9v