Downloads · 30 days
629
17% of all-time downloads
second-state/EXAONE-Deep-2.4B-GGUF
EXAONE-Deep-2.4B-GGUF is a text generation model from second-state. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div <hr…
Downloads · 30 days
629
17% of all-time downloads
All-time downloads
3.8K
Public
Repo size
23.6 GB
Likes
0
Public
Click a slice to open those files.
.gguf23.6 GB · 100%
From the Hugging Face model README
LlamaEdge version: v0.16.12 and above
Prompt template
Prompt type: exaone-deep-chat
Prompt string
[|system|]{system_message}[|endofturn|]
[|user|]{user_message_1}
[|assistant|]{assistant_message_1}[|endofturn|]
[|user|]{user_message_2}
[|assistant|]<thought>
Context size: 32000
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-Deep-2.4B-Q5_K_M.gguf \
llama-api-server.wasm \
--prompt-template exaone-deep-chat \
--ctx-size 32000 \
--model-name EXAONE-Deep-2.4B
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:EXAONE-Deep-2.4B-Q5_K_M.gguf \
llama-chat.wasm \
--prompt-template exaone-chat \
--ctx-size 32000
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| EXAONE-Deep-2.4B-Q2_K.gguf | Q2_K | 2 | 1.01 GB | smallest, significant quality loss - not recommended for most purposes |
| EXAONE-Deep-2.4B-Q3_K_L.gguf | Q3_K_L | 3 | 1.35 GB | small, substantial quality loss |
| EXAONE-Deep-2.4B-Q3_K_M.gguf | Q3_K_M | 3 | 1.25 GB | very small, high quality loss |
| EXAONE-Deep-2.4B-Q3_K_S.gguf | Q3_K_S | 3 | 1.14 GB | very small, high quality loss |
| EXAONE-Deep-2.4B-Q4_0.gguf | Q4_0 | 4 | 1.43 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| EXAONE-Deep-2.4B-Q4_K_M.gguf | Q4_K_M | 4 | 1.50 GB | medium, balanced quality - recommended |
| EXAONE-Deep-2.4B-Q4_K_S.gguf | Q4_K_S | 4 | 1.43 GB | small, greater quality loss |
| EXAONE-Deep-2.4B-Q5_0.gguf | Q5_0 | 5 | 1.69 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| EXAONE-Deep-2.4B-Q5_K_M.gguf | Q5_K_M | 5 | 1.73 GB | large, very low quality loss - recommended |
| EXAONE-Deep-2.4B-Q5_K_S.gguf | Q5_K_S | 5 | 1.69 GB | large, low quality loss - recommended |
| EXAONE-Deep-2.4B-Q6_K.gguf | Q6_K | 6 | 1.98 GB | very large, extremely low quality loss |
| EXAONE-Deep-2.4B-Q8_0.gguf | Q8_0 | 8 | 2.56 GB | very large, extremely low quality loss - not recommended |
| EXAONE-Deep-2.4B-f16.gguf | f16 | 16 | 4.82 GB |
Quantized with llama.cpp b4920.