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

1slices:
2 - sources:
3 - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
4 layer_range: [0, 32]
5 - model: MSL7/INEX12-7b
6 layer_range: [0, 32]
7merge_method: slerp
8base_model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
9parameters:
10 t:
11 - filter: self_attn
12 value: [0, 0.5, 0.3, 0.7, 1]
13 - filter: mlp
14 value: [1, 0.5, 0.7, 0.3, 0]
15 - value: 0.5
16dtype: bfloat16
17
18slices:
19 - sources:
20 - model: liminerity/M7-7b
21 layer_range: [0, 32]
22 - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
23 layer_range: [0, 32]
24merge_method: slerp
25base_model: liminerity/M7-7b
26parameters:
27 t:
28 - filter: self_attn
29 value: [0, 0.5, 0.3, 0.7, 1]
30 - filter: mlp
31 value: [1, 0.5, 0.7, 0.3, 0]
32 - value: 0.5
33dtype: bfloat16
34
35
36slices:
37 - sources:
38 - model: ammarali32/multi_verse_model
39 layer_range: [0, 32]
40 - model: liminerity/merge
41 layer_range: [0, 32]
42merge_method: slerp
43base_model: ammarali32/multi_verse_model
44parameters:
45 t:
46 - filter: self_attn
47 value: [0, 0.5, 0.3, 0.7, 1]
48 - filter: mlp
49 value: [1, 0.5, 0.7, 0.3, 0]
50 - value: 0.5
51dtype: bfloat16
52
53
54slices:
55 - sources:
56 - model: Gille/StrangeMerges_32-7B-slerp
57 layer_range: [0, 32]
58 - model: yam-peleg/Experiment26-7B
59 layer_range: [0, 32]
60merge_method: slerp
61base_model: Gille/StrangeMerges_32-7B-slerp
62parameters:
63 t:
64 - filter: self_attn
65 value: [0, 0.5, 0.3, 0.7, 1]
66 - filter: mlp
67 value: [1, 0.5, 0.7, 0.3, 0]
68 - value: 0.5
69dtype: bfloat16