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TunedChaos/ChaosNexus_Tuned_v1-GGUF

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ChaosNexus Tuned v1 (GGUF)

Default ChaosNexus Crucible download. Q4KM GGUF of ChaosNexus Tuned v1 (merged Granite 4.1-8B + Tuned LoRA).

FieldValue
Hub idTunedChaos/ChaosNexus_Tuned_v1-GGUF
QuantQ4KM
Baseunsloth/granite-4.1-8b (IBM Granite 4.1-8B-Instruct)
Source adapter`TunedChaos/ChaosNexus_Tuned_v1`
Anvil eval mean0.944 (smoke CLEAR) - see LoRA card / eval_scores_v1.md

Intended use

  • —Local Crucible inference (~/.chaosnexus/crucible/models cache)
  • —Forge Models tab Pull / Ensure with optional Hugging Face token
  • —Offline developer machines under ChaosNexus sandbox + human-in-the-loop

How Crucible loads it

  1. 1.Set HF token in Forge Settings (Models) if needed for rate limits / gated assets.
  2. 2.Pull preset ChaosNexus Tuned v1 (GGUF) (or leave default model_id).
  3. 3.Crucible downloads into ~/.chaosnexus/crucible/models and loads via Candle GGUF.

PEFT / LoRA users

Trainers who want the adapter only should use `TunedChaos/ChaosNexus_Tuned_v1` instead of this GGUF.

License

  • —Base model: follow IBM Granite / Unsloth redistributor terms on the Hub.
  • —Tuned packaging: AGPL-3.0-or-later unless a commercial license is obtained from Tuned Chaos.

Links

  • —Docs: https://chaosnexus.ai
  • —Tuned repo: https://github.com/TunedChaos/chaosnexus-tuned
  • —Project: Tuned Chaos