Merged-AGI-7B
- Model creator: Talha Rüzgar Akkuş
- Original model: Merged AGI 7B
EXL2 Quants
Zipped Quantization (if you want to download a single file)
Calibration Dataset
Memory Usage
Measured using ExLlamav2_HF and 4096 max_seq_len with Oobabooga's Text Generation WebUI.
| Branch | BPW | VRAM Usage | Description |
|---|---|---|---|
| 3.0bpw | 3.0 | 3.7 GB | For >=6GB VRAM cards |
| 4.0bpw (main) | 4.0 | 4.4 GB | For >=6GB VRAM cards |
| 6.0bpw | 6.0 | 6.1 GB | For >=8GB VRAM cards |
| 8.0bpw | 8.0 | 7.7 GB | For >=10GB VRAM cards |
Prompt template: ChatML
<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Original Info
Merge Q-bert/MetaMath-Cybertron-Starling and fblgit/juanako-7b-UNA using slerp merge.
You can use ChatML format.
Open LLM Leaderboard Evaluation Results
Detailed results can be found Coming soon
| Metric | Value |
|---|---|
| Avg. | Coming soon |
| ARC (25-shot) | Coming soon |
| HellaSwag (10-shot) | Coming soon |
| MMLU (5-shot) | Coming soon |
| TruthfulQA (0-shot) | Coming soon |
| Winogrande (5-shot) | Coming soon |
| GSM8K (5-shot) | Coming soon |
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