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| Name | Quant method | Size |
|---|---|---|
| MaidStarling-2x7B-base.Q2_K.gguf | Q2_K | 4.43GB |
| MaidStarling-2x7B-base.IQ3_XS.gguf | IQ3_XS | 4.95GB |
| MaidStarling-2x7B-base.IQ3_S.gguf | IQ3_S | 5.22GB |
| MaidStarling-2x7B-base.Q3_K_S.gguf | Q3_K_S | 5.2GB |
| MaidStarling-2x7B-base.IQ3_M.gguf | IQ3_M | 5.35GB |
| MaidStarling-2x7B-base.Q3_K.gguf | Q3_K | 5.78GB |
| MaidStarling-2x7B-base.Q3_K_M.gguf | Q3_K_M | 5.78GB |
| MaidStarling-2x7B-base.Q3_K_L.gguf | Q3_K_L | 6.27GB |
| MaidStarling-2x7B-base.IQ4_XS.gguf | IQ4_XS | 6.5GB |
| MaidStarling-2x7B-base.Q4_0.gguf | Q4_0 | 6.78GB |
| MaidStarling-2x7B-base.IQ4_NL.gguf | IQ4_NL | 6.85GB |
| MaidStarling-2x7B-base.Q4_K_S.gguf | Q4_K_S | 6.84GB |
| MaidStarling-2x7B-base.Q4_K.gguf | Q4_K | 7.25GB |
| MaidStarling-2x7B-base.Q4_K_M.gguf | Q4_K_M | 7.25GB |
| MaidStarling-2x7B-base.Q4_1.gguf | Q4_1 | 7.52GB |
| MaidStarling-2x7B-base.Q5_0.gguf | Q5_0 | 8.26GB |
| MaidStarling-2x7B-base.Q5_K_S.gguf | Q5_K_S | 8.26GB |
| MaidStarling-2x7B-base.Q5_K.gguf | Q5_K | 8.51GB |
| MaidStarling-2x7B-base.Q5_K_M.gguf | Q5_K_M | 8.51GB |
| MaidStarling-2x7B-base.Q5_1.gguf | Q5_1 | 9.01GB |
| MaidStarling-2x7B-base.Q6_K.gguf | Q6_K | 9.84GB |
| MaidStarling-2x7B-base.Q8_0.gguf | Q8_0 | 12.75GB |
base_model: /Users/dawn/git/models/Silicon-Maid-7B
gate_mode: hidden # one of "hidden", "cheap_embed", or "random"
dtype: bfloat16 # output dtype (float32, float16, or bfloat16)
experts:
- source_model: /Users/dawn/git/models/Silicon-Maid-7B
positive_prompts:
- "roleplay"
- source_model: /Users/dawn/git/models/Starling-LM-7B-beta
positive_prompts:
- "chat"
| Metric | Value |
|---|---|
| Avg. | 70.76 |
| AI2 Reasoning Challenge (25-Shot) | 68.43 |
| HellaSwag (10-Shot) | 86.28 |
| MMLU (5-Shot) | 60.34 |
| TruthfulQA (0-shot) | 60.34 |
| Winogrande (5-shot) | 78.93 |
| GSM8k (5-shot) | 65.43 |