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holooo/TwIL-LM3-Q5_K_S-GGUF overview

holooo/TwIL LM3 Q5 K S GGUF This model was converted to GGUF format from webAI Official/TwIL LM3 https://huggingface.co/webAI Official/TwIL LM3 using llama.cpp…

transformersggufformal-logicreasoningloramodel-mergingwise-ftreinforcement-learninggrposmollm3twil-lmllama-cppgguf-my-repotext-generationenbase_model:webAI-Official/TwIL-LM3base_model:adapter:webAI-Official/TwIL-LM3license:otherendpoints_compatibleregion:us

Runs locally from ~2.01 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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text-generation
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1 GGUF files detected
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Model Details

Model IDholooo/TwIL-LM3-Q5_K_S-GGUF
Authorholooo
Pipelinetext-generation
Licenseother
Base modelwebAI-Official/TwIL-LM3
Last modified2026-08-11T17:15:00.000Z

Model README

---

language:

  • en

library_name: transformers

pipeline_tag: text-generation

base_model: webAI-Official/TwIL-LM3

license: other

license_name: webai-non-commercial-license-ver.-1.0

license_link: https://huggingface.co/webAI-Official/webAI-ColVec1-4b/blob/main/LICENSE.md

tags:

  • formal-logic
  • reasoning
  • lora
  • model-merging
  • wise-ft
  • reinforcement-learning
  • grpo
  • smollm3
  • twil-lm
  • llama-cpp
  • gguf-my-repo

---

holooo/TwIL-LM3-Q5_K_S-GGUF

This model was converted to GGUF format from webAI-Official/TwIL-LM3 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 holooo/TwIL-LM3-Q5_K_S-GGUF --hf-file twil-lm3-q5_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo holooo/TwIL-LM3-Q5_K_S-GGUF --hf-file twil-lm3-q5_k_s.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 holooo/TwIL-LM3-Q5_K_S-GGUF --hf-file twil-lm3-q5_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo holooo/TwIL-LM3-Q5_K_S-GGUF --hf-file twil-lm3-q5_k_s.gguf -c 2048

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