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| Name | Quant method | Size |
|---|---|---|
| Tiger-7B-v0.1.Q2_K.gguf | Q2_K | 2.53GB |
| Tiger-7B-v0.1.IQ3_XS.gguf | IQ3_XS | 2.81GB |
| Tiger-7B-v0.1.IQ3_S.gguf | IQ3_S | 2.96GB |
| Tiger-7B-v0.1.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| Tiger-7B-v0.1.IQ3_M.gguf | IQ3_M | 3.06GB |
| Tiger-7B-v0.1.Q3_K.gguf | Q3_K | 3.28GB |
| Tiger-7B-v0.1.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| Tiger-7B-v0.1.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| Tiger-7B-v0.1.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| Tiger-7B-v0.1.Q4_0.gguf | Q4_0 | 3.83GB |
| Tiger-7B-v0.1.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| Tiger-7B-v0.1.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| Tiger-7B-v0.1.Q4_K.gguf | Q4_K | 4.07GB |
| Tiger-7B-v0.1.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| Tiger-7B-v0.1.Q4_1.gguf | Q4_1 | 4.24GB |
| Tiger-7B-v0.1.Q5_0.gguf | Q5_0 | 4.65GB |
| Tiger-7B-v0.1.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| Tiger-7B-v0.1.Q5_K.gguf | Q5_K | 4.78GB |
| Tiger-7B-v0.1.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| Tiger-7B-v0.1.Q5_1.gguf | Q5_1 | 5.07GB |
| Tiger-7B-v0.1.Q6_K.gguf | Q6_K | 5.53GB |
| Tiger-7B-v0.1.Q8_0.gguf | Q8_0 | 7.17GB |


1
2slices:
3 - sources:
4 - model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
5 layer_range: [0, 32]
6 - model: NeuralNovel/Gecko-7B-v0.1-DPO
7 layer_range: [0, 32]
8merge_method: slerp
9base_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
10parameters:
11 t:
12 - filter: self_attn
13 value: [0, 0.5, 0.3, 0.7, 1]
14 - filter: mlp
15 value: [1, 0.5, 0.7, 0.3, 0]
16 - value: 0.5
17dtype: bfloat16
18
19
20| Metric | Value |
|---|---|
| Avg. | 65.02 |
| AI2 Reasoning Challenge (25-Shot) | 59.98 |
| HellaSwag (10-Shot) | 83.21 |
| MMLU (5-Shot) | 61.42 |
| TruthfulQA (0-shot) | 61.03 |
| Winogrande (5-shot) | 77.66 |
| GSM8k (5-shot) | 46.78 |