File size: 3,333 Bytes
22637f1 |
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 |
---
language:
- en
- ko
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-generation
model_id: kakaocorp/kanana-nano-2.1b-base
repo: kakaocorp/kanana-nano-2.1b-base
developers: Kanana LLM
training_regime: bf16 mixed precision
tags:
- llama-cpp
- gguf-my-repo
base_model: kakaocorp/kanana-nano-2.1b-base
model-index:
- name: kanana-nano-2.1b-base
results:
- task:
type: multiple_choice
name: mmlu
dataset:
name: mmlu (5-shots)
type: hails/mmlu_no_train
metrics:
- type: acc
value: 54.83
name: acc
- task:
type: generate_until
name: kmmlu
dataset:
name: kmmlu-direct (5-shots)
type: HAERAE-HUB/KMMLU
metrics:
- type: exact_match
value: 44.83
name: exact_match
- task:
type: multiple_choice
name: haerae
dataset:
name: haerae (5-shots)
type: HAERAE-HUB/HAE_RAE_BENCH
metrics:
- type: acc_norm
value: 77.09
name: acc_norm
- task:
type: generate_until
name: gsm8k
dataset:
name: gsm8k (5-shots)
type: openai/gsm8k
metrics:
- type: exact_match
value: 46.32
name: exact_match_strict
- task:
type: generate_until
name: humaneval
dataset:
name: humaneval (0-shots)
type: openai/openai_humaneval
metrics:
- type: pass@1
value: 31.1
name: pass@1
- task:
type: generate_until
name: mbpp
dataset:
name: mbpp (3-shots)
type: google-research-datasets/mbpp
metrics:
- type: pass@1
value: 46.2
name: pass@1
---
# nonemonehpark/kanana-nano-2.1b-base-Q8_0-GGUF
This model was converted to GGUF format from [`kakaocorp/kanana-nano-2.1b-base`](https://huggingface.co/kakaocorp/kanana-nano-2.1b-base) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/kakaocorp/kanana-nano-2.1b-base) for more details on the model.
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
```bash
brew install llama.cpp
```
Invoke the llama.cpp server or the CLI.
### CLI:
```bash
llama-cli --hf-repo nonemonehpark/kanana-nano-2.1b-base-Q8_0-GGUF --hf-file kanana-nano-2.1b-base-q8_0.gguf -p "The meaning to life and the universe is"
```
### Server:
```bash
llama-server --hf-repo nonemonehpark/kanana-nano-2.1b-base-Q8_0-GGUF --hf-file kanana-nano-2.1b-base-q8_0.gguf -c 2048
```
Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```
Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```
Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo nonemonehpark/kanana-nano-2.1b-base-Q8_0-GGUF --hf-file kanana-nano-2.1b-base-q8_0.gguf -p "The meaning to life and the universe is"
```
or
```
./llama-server --hf-repo nonemonehpark/kanana-nano-2.1b-base-Q8_0-GGUF --hf-file kanana-nano-2.1b-base-q8_0.gguf -c 2048
```
|