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| Name | Quant method | Size |
|---|---|---|
| Solar-10.7B-SLERP.Q2_K.gguf | Q2_K | 3.73GB |
| Solar-10.7B-SLERP.IQ3_XS.gguf | IQ3_XS | 4.14GB |
| Solar-10.7B-SLERP.IQ3_S.gguf | IQ3_S | 4.37GB |
| Solar-10.7B-SLERP.Q3_K_S.gguf | Q3_K_S | 4.34GB |
| Solar-10.7B-SLERP.IQ3_M.gguf | IQ3_M | 4.51GB |
| Solar-10.7B-SLERP.Q3_K.gguf | Q3_K | 4.84GB |
| Solar-10.7B-SLERP.Q3_K_M.gguf | Q3_K_M | 4.84GB |
| Solar-10.7B-SLERP.Q3_K_L.gguf | Q3_K_L | 5.26GB |
| Solar-10.7B-SLERP.IQ4_XS.gguf | IQ4_XS | 5.43GB |
| Solar-10.7B-SLERP.Q4_0.gguf | Q4_0 | 5.66GB |
| Solar-10.7B-SLERP.IQ4_NL.gguf | IQ4_NL | 5.72GB |
| Solar-10.7B-SLERP.Q4_K_S.gguf | Q4_K_S | 5.7GB |
| Solar-10.7B-SLERP.Q4_K.gguf | Q4_K | 6.02GB |
| Solar-10.7B-SLERP.Q4_K_M.gguf | Q4_K_M | 6.02GB |
| Solar-10.7B-SLERP.Q4_1.gguf | Q4_1 | 6.27GB |
| Solar-10.7B-SLERP.Q5_0.gguf | Q5_0 | 6.89GB |
| Solar-10.7B-SLERP.Q5_K_S.gguf | Q5_K_S | 6.89GB |
| Solar-10.7B-SLERP.Q5_K.gguf | Q5_K | 7.08GB |
| Solar-10.7B-SLERP.Q5_K_M.gguf | Q5_K_M | 7.08GB |
| Solar-10.7B-SLERP.Q5_1.gguf | Q5_1 | 7.51GB |
| Solar-10.7B-SLERP.Q6_K.gguf | Q6_K | 8.2GB |
| Solar-10.7B-SLERP.Q8_0.gguf | Q8_0 | 10.62GB |
Slerp merge method from the best models on 14th Dec on the OpenLLM Leaderboard:1slices:
2 - sources:
3 - model: upstage/SOLAR-10.7B-Instruct-v1.0
4 layer_range: [0, 48]
5 - model: janhq/Pandora-v1-10.7B
6 layer_range: [0, 48]
7merge_method: slerp
8base_model: upstage/SOLAR-10.7B-Instruct-v1.0
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<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant 1337 with OpenAI compatible endpoints
| Metric | Value |
|---|---|
| Avg. | ? |
| ARC (25-shot) | ? |
| HellaSwag (10-shot) | ? |
| MMLU (5-shot) | ? |
| TruthfulQA (0-shot) | ? |
| Winogrande (5-shot) | ? |
| GSM8K (5-shot) | ? |