File size: 7,274 Bytes
746dce9 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 |
---
license: apache-2.0
datasets:
- databricks/databricks-dolly-15k
- gamino/wiki_medical_terms
- Sharathhebbar24/openhermes
- Sharathhebbar24/Open-Platypus
- Sharathhebbar24/sql-create-context
- Sharathhebbar24/Evol-Instruct-Code-80k-v1
- Sharathhebbar24/BeaverTails_filtered
- Sharathhebbar24/arxiv-math-instruct-50k
- Sharathhebbar24/MetaMathQA
- Intel/orca_dpo_pairs
base_model: Sharathhebbar24/SSH_355M
tags:
- TensorBlock
- GGUF
model-index:
- name: SSH_300M
results:
- 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: 28.24
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Sharathhebbar24/SSH_300M
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: 38.74
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Sharathhebbar24/SSH_300M
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: 27.03
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Sharathhebbar24/SSH_300M
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: 42.51
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Sharathhebbar24/SSH_300M
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: 53.67
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Sharathhebbar24/SSH_300M
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: 0.3
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Sharathhebbar24/SSH_300M
name: Open LLM Leaderboard
---
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/jC7kdl8.jpeg" alt="TensorBlock" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; flex-direction: column; align-items: flex-start;">
<p style="margin-top: 0.5em; margin-bottom: 0em;">
Feedback and support: TensorBlock's <a href="https://x.com/tensorblock_aoi">Twitter/X</a>, <a href="https://t.me/TensorBlock">Telegram Group</a> and <a href="https://x.com/tensorblock_aoi">Discord server</a>
</p>
</div>
</div>
## Sharathhebbar24/SSH_355M - GGUF
This repo contains GGUF format model files for [Sharathhebbar24/SSH_355M](https://huggingface.co/Sharathhebbar24/SSH_355M).
The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
<div style="text-align: left; margin: 20px 0;">
<a href="https://tensorblock.co/waitlist/client" style="display: inline-block; padding: 10px 20px; background-color: #007bff; color: white; text-decoration: none; border-radius: 5px; font-weight: bold;">
Run them on the TensorBlock client using your local machine ↗
</a>
</div>
## Prompt template
```
```
## Model file specification
| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [SSH_355M-Q2_K.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q2_K.gguf) | Q2_K | 0.178 GB | smallest, significant quality loss - not recommended for most purposes |
| [SSH_355M-Q3_K_S.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q3_K_S.gguf) | Q3_K_S | 0.201 GB | very small, high quality loss |
| [SSH_355M-Q3_K_M.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q3_K_M.gguf) | Q3_K_M | 0.229 GB | very small, high quality loss |
| [SSH_355M-Q3_K_L.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q3_K_L.gguf) | Q3_K_L | 0.244 GB | small, substantial quality loss |
| [SSH_355M-Q4_0.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q4_0.gguf) | Q4_0 | 0.248 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [SSH_355M-Q4_K_S.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q4_K_S.gguf) | Q4_K_S | 0.250 GB | small, greater quality loss |
| [SSH_355M-Q4_K_M.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q4_K_M.gguf) | Q4_K_M | 0.271 GB | medium, balanced quality - recommended |
| [SSH_355M-Q5_0.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q5_0.gguf) | Q5_0 | 0.292 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [SSH_355M-Q5_K_S.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q5_K_S.gguf) | Q5_K_S | 0.292 GB | large, low quality loss - recommended |
| [SSH_355M-Q5_K_M.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q5_K_M.gguf) | Q5_K_M | 0.309 GB | large, very low quality loss - recommended |
| [SSH_355M-Q6_K.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q6_K.gguf) | Q6_K | 0.339 GB | very large, extremely low quality loss |
| [SSH_355M-Q8_0.gguf](https://huggingface.co/tensorblock/SSH_355M-GGUF/blob/main/SSH_355M-Q8_0.gguf) | Q8_0 | 0.437 GB | very large, extremely low quality loss - not recommended |
## Downloading instruction
### Command line
Firstly, install Huggingface Client
```shell
pip install -U "huggingface_hub[cli]"
```
Then, downoad the individual model file the a local directory
```shell
huggingface-cli download tensorblock/SSH_355M-GGUF --include "SSH_355M-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```
If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:
```shell
huggingface-cli download tensorblock/SSH_355M-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```
|