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PJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF overview

PJRM/Qwen3 4B Sky High Hermes IQ4 NL GGUF This model was converted to GGUF format from ZeroXClem/Qwen3 4B Sky High Hermes https://huggingface.co/ZeroXClem/Qwen…

hermesggufmergemergekitlazymergekitqwen3ZeroXClemSkyHighHermesHereticAbliteratedHighReasoningDistilledClaudellama-cppgguf-my-repobase_model:ZeroXClem/Qwen3-4B-Sky-High-Hermesbase_model:quantized:ZeroXClem/Qwen3-4B-Sky-High-Hermeslicense:apache-2.0endpoints_compatibleregion:usimatrix

Runs locally from ~2.22 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Model Details

Model IDPJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF
AuthorPJRM
Pipeline
Licenseapache-2.0
Base modelZeroXClem/Qwen3-4B-Sky-High-Hermes
Last modified2026-08-03T06:09:41.000Z

Model README

---

license: apache-2.0

tags:

  • merge
  • mergekit
  • lazymergekit
  • qwen3
  • ZeroXClem
  • hermes
  • SkyHighHermes
  • Heretic
  • Abliterated
  • HighReasoning
  • Distilled
  • Claude
  • llama-cpp
  • gguf-my-repo

base_model: ZeroXClem/Qwen3-4B-Sky-High-Hermes

---

PJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF

This model was converted to GGUF format from ZeroXClem/Qwen3-4B-Sky-High-Hermes using llama.cpp via the ggml.ai's GGUF-my-repo space.

Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo PJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF --hf-file qwen3-4b-sky-high-hermes-iq4_nl-imat.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo PJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF --hf-file qwen3-4b-sky-high-hermes-iq4_nl-imat.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo PJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF --hf-file qwen3-4b-sky-high-hermes-iq4_nl-imat.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo PJRM/Qwen3-4B-Sky-High-Hermes-IQ4_NL-GGUF --hf-file qwen3-4b-sky-high-hermes-iq4_nl-imat.gguf -c 2048

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