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JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint-GGUF overview

Qwen3.8 9B Hermes FC — Clean Restraint GGUF ROCmFPX quantized version of JamieBradfield/qwen3.8 9b hermes fc clean restraint https://huggingface.co/JamieBradfi…

ggufqwen3.5function-callingtool-useqlorafinetunerocmfpxrestrainttext-generationenbase_model:JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraintbase_model:quantized:JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraintlicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~4.58 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
qwen3.8-9b-hf-fc-v29-armB2-175-Q4_0_ROCMFP4_FAST.ggufGGUFQ4_0_ROCMFP4_FAST4.58 GBDownload

Model Details

Model IDJamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint-GGUF
AuthorJamieBradfield
Pipelinetext-generation
Licenseapache-2.0
Base modelJamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint
Last modified2026-09-03T17:17:09.000Z

Model README

---

license: apache-2.0

base_model: JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint

tags:

  • qwen3.5
  • function-calling
  • tool-use
  • qlora
  • finetune
  • gguf
  • rocmfpx
  • restraint

pipeline_tag: text-generation

language:

  • en

library_name: gguf

---

Qwen3.8-9B Hermes FC — Clean Restraint (GGUF)

ROCmFPX-quantized version of

JamieBradfield/qwen3.8-9b-hermes-fc-clean-restraint

(BF16 merge in the parent repo).

Quant details

| file | quant | size | notes |

|---|---|---|---|

| qwen3.8-9b-hf-fc-v29-armB2-175-Q4_0_ROCMFP4_FAST.gguf | Q4_0_ROCMFP4_FAST | 4.69 GB | ROCmFPX (AMD RDNA3 kernels); fast-path quant of the BF16 merge |

Convert/quantize: llama-rocmfpx fork, convert_hf_to_gguf.py --outtype bf16

llama-quantize Q4_0_ROCMFP4_FAST.

ROCmFPX quants target AMD ROCm inference (RX 7700 XT in the author's rig,

12 GB VRAM, served at 64k context with q8_0/turbo3 KV). Perplexity on a

held-out probe ruler: Q4 1.148 vs Q8 1.145 — this quant is effectively

lossless vs the near-lossless Q8 on the ruler that matters. For portable

use, convert from the BF16 merge in the parent repo instead.

Evaluation

See the parent repo card for the full 50-probe battery. Headline:

contamination-free (T4 0/10 fired, 0 drift vs v28's 2/10), restraint

(T3 1/10 vs 5/10), clean format (T2 10/10 fired, 10/10 format-exact),

T1 6/20 — the known assistant-final stall, documented in the parent

card. This is an experimental checkpoint; the continuation fix (r4) is in

training.

Note on the MTP head

The quant preserves the 15-tensor MTP head from the base (mtp.* tensors,

442 total) — present in this GGUF and usable with --spec-type draft-mtp

on supporting builds.

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