Chungulus/Agents-A1-Q6_K-imatrix-gguf-fable5-calibrated overview
A1 Q6 K imatrix Static imatrix calibrated GGUF quant of InternScience/Agents A1 . bash llama cli hf Chungulus/Agents A1 Q6 K imatrix gguf fable5 calibrated:Age…
Runs locally from ~26.56 GB disk (32 GB+ VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Agents-A1-Q6_K-imatrix-gguf-fable5-calibrated.gguf | GGUF | Q6_K | 26.56 GB | Download |
Model Details
Model README
---
license: apache-2.0
base_model: InternScience/Agents-A1
library_name: llama.cpp
tags:
- gguf
- llama.cpp
- imatrix
- agents-a1
---
A1-Q6_K-imatrix
Static imatrix-calibrated GGUF quant of InternScience/Agents-A1.
llama-cli -hf Chungulus/Agents-A1-Q6_K-imatrix-gguf-fable5-calibrated:Agents-A1-Q6_K-imatrix-gguf-fable5-calibrated.gguf -p "Write a Python sorting function" -n 160File
| File | Size | SHA-256 |
|---|---:|---|
| Agents-A1-Q6_K-imatrix-gguf-fable5-calibrated.gguf | 26.56 GiB | 4ddb5fc1a537d364391a4adc4172d364ec31782e6b1e4d802e8fbe7b02e99ee9 |
Quality Snapshot
F16 baseline mini accuracy: 89.58%.
F16 baseline PPL on KL holdout: 13.0194.
| Metric | Value |
|---|---:|
| Mini accuracy | 89.58% |
| Retention vs F16 | 100.00% |
| Mean KLD vs F16 | 0.007926 |
| Same top p | 94.44% |
Notes
- Calibration source:
Glint-Research/Fable-5-traces - MTP is not included because the downloaded checkpoint did not contain MTP tensors.
- Static imatrix GGUF, not Unsloth Dynamic 2.0 / UD2.
Run Chungulus/Agents-A1-Q6_K-imatrix-gguf-fable5-calibrated with guIDE
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Source: Hugging Face · Compare models