File size: 8,365 Bytes
08c99ea |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 |
---
base_model:
- mistralai/Mistral-7B-v0.1
- berkeley-nest/Starling-LM-7B-alpha
- mlabonne/AlphaMonarch-7B
- cognitivecomputations/WestLake-7B-v2-laser
- senseable/garten2-7b
library_name: transformers
tags:
- mergekit
- merge
license: cc-by-nc-4.0
model-index:
- name: Starling_Monarch_Westlake_Garten-7B-v0.1
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: EQ-Bench
type: eq-bench
config: EQ-Bench
split: v2.1
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 80.01
name: self-reported
source:
url: https://github.com/EQ-bench/EQ-Bench
name: EQ-Bench v2.1
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 71.76
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 88.15
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 65.07
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 67.92
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 82.16
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 71.95
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
name: Open LLM Leaderboard
quantized_by: bartowski
pipeline_tag: text-generation
---
## Llamacpp Quantizations of Starling_Monarch_Westlake_Garten-7B-v0.1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2440">b2440</a> for quantization.
Original model: https://huggingface.co/giraffe176/Starling_Monarch_Westlake_Garten-7B-v0.1
Download a file (not the whole branch) from below:
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q8_0.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q6_K.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q5_K_M.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q5_K_S.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q5_0.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q4_K_M.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q4_K_S.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-IQ4_NL.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-IQ4_NL.gguf) | IQ4_NL | 4.15GB | Good quality, similar to Q4_K_S, new method of quanting, |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-IQ4_XS.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-IQ4_XS.gguf) | IQ4_XS | 3.94GB | Decent quality, new method with similar performance to Q4. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q4_0.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-IQ3_M.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-IQ3_M.gguf) | IQ3_M | 3.28GB | Medium-low quality, new method with decent performance. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-IQ3_S.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-IQ3_S.gguf) | IQ3_S | 3.18GB | Lower quality, new method with decent performance, recommended over Q3 quants. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q3_K_L.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q3_K_M.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q3_K_S.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
| [Starling_Monarch_Westlake_Garten-7B-v0.1-Q2_K.gguf](https://huggingface.co/bartowski/Starling_Monarch_Westlake_Garten-7B-v0.1-GGUF/blob/main/Starling_Monarch_Westlake_Garten-7B-v0.1-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
|