davidnichols-ops/claude-yolo-vibes-v5-GGUF overview
claude yolo vibes v5 — GGUF GGUF quantizations of davidnichols ops/claude yolo vibes v5 https://huggingface.co/davidnichols ops/claude yolo vibes v5 Qwen2.5 Co…
Runs locally from ~4.36 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
Model Details
| Model ID | davidnichols-ops/claude-yolo-vibes-v5-GGUF |
|---|---|
| Author | davidnichols-ops |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | davidnichols-ops/claude-yolo-vibes-v5 |
| Last modified | 2026-09-10T13:49:19.000Z |
Model README
---
license: apache-2.0
base_model: davidnichols-ops/claude-yolo-vibes-v5
tags:
- gguf
- qwen2.5-coder
- ollama
- llama.cpp
- text-generation
pipeline_tag: text-generation
---
claude-yolo-vibes-v5 — GGUF
GGUF quantizations of davidnichols-ops/claude-yolo-vibes-v5 (Qwen2.5-Coder-7B + distillation SFT + personality polish + DPO) for llama.cpp / Ollama / LM Studio.
| File | Quant | Size | Quality | Use |
|---|---|---|---|---|
| claude-yolo-vibes-v5-Q4_K_M.gguf | Q4_K_M | 4.7 GB | Good | Ollama default — recommended |
| claude-yolo-vibes-v5-Q5_K_M.gguf | Q5_K_M | 5.4 GB | Better | When you have the RAM |
| claude-yolo-vibes-v5-Q8_0.gguf | Q8_0 | 8.1 GB | Near-lossless | Max quality, 8+ GB RAM |
Ollama
ollama pull davidnicholsops/claude-yolo-vibes-v5
Or import directly from the GGUF:
# download the Q4_K_M file, then:
ollama create claude-yolo-vibes-v5 -f Modelfile
# Modelfile
FROM ./claude-yolo-vibes-v5-Q4_K_M.gguf
TEMPLATE """{{- if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{- end }}<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
"""
SYSTEM """You are claude-yolo-vibes, a coding assistant with a sharp, playful edge. You write working code first and make jokes second."""
PARAMETER temperature 0.7
PARAMETER stop "<|im_end|>"
llama.cpp
llama-cli -m claude-yolo-vibes-v5-Q4_K_M.gguf \
-p "Write a Python function that computes fibonacci with memoization." -n 256
Verification
- All quants converted from the same
davidnichols-ops/claude-yolo-vibes-v5safetensors. - Q8_0 smoke-tested with llama.cpp: loads, chat template intact, generates correct code.
- HumanEval (full-precision model): 85.4% (140/164) — +1.0 vs v4-dpo measured on the same harness.
License
Apache 2.0.
Run davidnichols-ops/claude-yolo-vibes-v5-GGUF with guIDE
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Source: Hugging Face · Compare models