KittyLM/kittylm-qwen3-4b-gguf overview
KittyLM 4B GGUF qwen3 4b Quantized GGUF weights for KittyLM/kittylm qwen3 4b https://huggingface.co/KittyLM/kittylm qwen3 4b — the kitten speak LoRA finetune o…
Runs locally from ~2.33 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | KittyLM/kittylm-qwen3-4b-gguf |
|---|---|
| Author | KittyLM |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | KittyLM/kittylm-qwen3-4b |
| Last modified | 2026-09-30T10:40:47.000Z |
Model README
---
library: gguf
language: en
license: apache-2.0
base_model: KittyLM/kittylm-qwen3-4b
pipeline_tag: text-generation
tags:
- kittylm
- gguf
- ollama
- llama-cpp
- lm-studio
- conversational
---
KittyLM-4B GGUF (qwen3-4b)
Quantized GGUF weights for KittyLM/kittylm-qwen3-4b — the kitten-speak LoRA finetune of
Qwen/Qwen3-4B. Finetune details, eval results, and license notes live on the main repo card.
Training data: KittyLM/kittylm-data.
Files
kittylm-qwen3-4b-q4_k_m.ggufkittylm-qwen3-4b-q5_k_s.ggufkittylm-qwen3-4b-q6_k.ggufkittylm-qwen3-4b-q8_0.gguf
Quant roadmap: Q4_K_M (recommended daily driver), Q5_K_S (small quality bump over Q4_K_M), Q6_K (near-lossless, large), Q8_0 (near-F16 fidelity, biggest). Q4_K_M ships today and is the recommended daily driver;
higher-bit quants trade size for fidelity (see scripts/quantize_gguf.py).
Usage (Ollama, direct — recommended)
No Modelfile needed. This repo ships Ollama template (chatml family), system
(kitten persona), and params files, so the HF integration picks them up automatically:
ollama run hf.co/KittyLM/kittylm-qwen3-4b-gguf:Q4_K_M
# other quants (when present): :Q8_0, :Q6_K, :Q5_K_S
Usage (Ollama, classic Modelfile)
A ready-made Modelfile lives in this repo (FROM points at the Q4_K_M file):
hf download KittyLM/kittylm-qwen3-4b-gguf --include "*.gguf" --local-dir ./gguf
hf download KittyLM/kittylm-qwen3-4b-gguf Modelfile --local-dir ./gguf
ollama create kittylm-qwen3-4b -f ./gguf/Modelfile
ollama run kittylm-qwen3-4b "Good night!"
Usage (llama.cpp / LM Studio)
Point llama.cpp (llama-cli -m <file>.gguf) or LM Studio at the .gguf file directly.
Apply the model's chat template and keep the KittyLM system prompt (also shipped as the
system file in this repo and as system_prompt.txt in KittyLM/kittylm-data).
Run KittyLM/kittylm-qwen3-4b-gguf with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models