|
--- |
|
license: apache-2.0 |
|
tags: |
|
- llm |
|
- fine-tune |
|
- yi |
|
- TensorBlock |
|
- GGUF |
|
datasets: |
|
- adamo1139/AEZAKMI_v2 |
|
license_name: yi-license |
|
license_link: LICENSE |
|
base_model: adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
model-index: |
|
- name: Yi-34B-200K-AEZAKMI-v2 |
|
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: 67.92 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
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: 85.61 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
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: 75.22 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
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: 56.74 |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
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: 81.61 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
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: 58.91 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: IFEval (0-Shot) |
|
type: HuggingFaceH4/ifeval |
|
args: |
|
num_few_shot: 0 |
|
metrics: |
|
- type: inst_level_strict_acc and prompt_level_strict_acc |
|
value: 45.55 |
|
name: strict accuracy |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: BBH (3-Shot) |
|
type: BBH |
|
args: |
|
num_few_shot: 3 |
|
metrics: |
|
- type: acc_norm |
|
value: 35.28 |
|
name: normalized accuracy |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: MATH Lvl 5 (4-Shot) |
|
type: hendrycks/competition_math |
|
args: |
|
num_few_shot: 4 |
|
metrics: |
|
- type: exact_match |
|
value: 4.83 |
|
name: exact match |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: GPQA (0-shot) |
|
type: Idavidrein/gpqa |
|
args: |
|
num_few_shot: 0 |
|
metrics: |
|
- type: acc_norm |
|
value: 10.96 |
|
name: acc_norm |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: MuSR (0-shot) |
|
type: TAUR-Lab/MuSR |
|
args: |
|
num_few_shot: 0 |
|
metrics: |
|
- type: acc_norm |
|
value: 6.48 |
|
name: acc_norm |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
name: Open LLM Leaderboard |
|
- task: |
|
type: text-generation |
|
name: Text Generation |
|
dataset: |
|
name: MMLU-PRO (5-shot) |
|
type: TIGER-Lab/MMLU-Pro |
|
config: main |
|
split: test |
|
args: |
|
num_few_shot: 5 |
|
metrics: |
|
- type: acc |
|
value: 39.03 |
|
name: accuracy |
|
source: |
|
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=adamo1139/Yi-34B-200K-AEZAKMI-v2 |
|
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> |
|
|
|
## adamo1139/Yi-34B-200K-AEZAKMI-v2 - GGUF |
|
|
|
This repo contains GGUF format model files for [adamo1139/Yi-34B-200K-AEZAKMI-v2](https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2). |
|
|
|
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 |
|
|
|
``` |
|
<|im_start|>system |
|
{system_prompt}<|im_end|> |
|
<|im_start|>user |
|
{prompt}<|im_end|> |
|
<|im_start|>assistant |
|
``` |
|
|
|
## Model file specification |
|
|
|
| Filename | Quant type | File Size | Description | |
|
| -------- | ---------- | --------- | ----------- | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q2_K.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q2_K.gguf) | Q2_K | 12.825 GB | smallest, significant quality loss - not recommended for most purposes | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q3_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q3_K_S.gguf) | Q3_K_S | 14.960 GB | very small, high quality loss | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q3_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q3_K_M.gguf) | Q3_K_M | 16.655 GB | very small, high quality loss | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q3_K_L.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q3_K_L.gguf) | Q3_K_L | 18.139 GB | small, substantial quality loss | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q4_0.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q4_0.gguf) | Q4_0 | 19.467 GB | legacy; small, very high quality loss - prefer using Q3_K_M | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q4_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q4_K_S.gguf) | Q4_K_S | 19.599 GB | small, greater quality loss | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q4_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q4_K_M.gguf) | Q4_K_M | 20.659 GB | medium, balanced quality - recommended | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q5_0.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q5_0.gguf) | Q5_0 | 23.708 GB | legacy; medium, balanced quality - prefer using Q4_K_M | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q5_K_S.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q5_K_S.gguf) | Q5_K_S | 23.708 GB | large, low quality loss - recommended | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q5_K_M.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q5_K_M.gguf) | Q5_K_M | 24.322 GB | large, very low quality loss - recommended | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q6_K.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q6_K.gguf) | Q6_K | 28.214 GB | very large, extremely low quality loss | |
|
| [Yi-34B-200K-AEZAKMI-v2-Q8_0.gguf](https://huggingface.co/tensorblock/Yi-34B-200K-AEZAKMI-v2-GGUF/blob/main/Yi-34B-200K-AEZAKMI-v2-Q8_0.gguf) | Q8_0 | 36.542 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/Yi-34B-200K-AEZAKMI-v2-GGUF --include "Yi-34B-200K-AEZAKMI-v2-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/Yi-34B-200K-AEZAKMI-v2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' |
|
``` |
|
|
