itlwas commited on
Commit
8222a7b
·
verified ·
1 Parent(s): 62a4596

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +66 -0
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: other
3
+ license_name: seallms
4
+ license_link: https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE
5
+ language:
6
+ - en
7
+ - zh
8
+ - vi
9
+ - id
10
+ - th
11
+ - ms
12
+ - km
13
+ - lo
14
+ - my
15
+ - tl
16
+ tags:
17
+ - multilingual
18
+ - sea
19
+ - llama-cpp
20
+ - gguf-my-repo
21
+ base_model: SeaLLMs/SeaLLM-7B-v2.5
22
+ ---
23
+
24
+ # itlwas/SeaLLM-7B-v2.5-Q4_K_M-GGUF
25
+ This model was converted to GGUF format from [`SeaLLMs/SeaLLM-7B-v2.5`](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
26
+ Refer to the [original model card](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2.5) for more details on the model.
27
+
28
+ ## Use with llama.cpp
29
+ Install llama.cpp through brew (works on Mac and Linux)
30
+
31
+ ```bash
32
+ brew install llama.cpp
33
+
34
+ ```
35
+ Invoke the llama.cpp server or the CLI.
36
+
37
+ ### CLI:
38
+ ```bash
39
+ llama-cli --hf-repo itlwas/SeaLLM-7B-v2.5-Q4_K_M-GGUF --hf-file seallm-7b-v2.5-q4_k_m.gguf -p "The meaning to life and the universe is"
40
+ ```
41
+
42
+ ### Server:
43
+ ```bash
44
+ llama-server --hf-repo itlwas/SeaLLM-7B-v2.5-Q4_K_M-GGUF --hf-file seallm-7b-v2.5-q4_k_m.gguf -c 2048
45
+ ```
46
+
47
+ 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.
48
+
49
+ Step 1: Clone llama.cpp from GitHub.
50
+ ```
51
+ git clone https://github.com/ggerganov/llama.cpp
52
+ ```
53
+
54
+ 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).
55
+ ```
56
+ cd llama.cpp && LLAMA_CURL=1 make
57
+ ```
58
+
59
+ Step 3: Run inference through the main binary.
60
+ ```
61
+ ./llama-cli --hf-repo itlwas/SeaLLM-7B-v2.5-Q4_K_M-GGUF --hf-file seallm-7b-v2.5-q4_k_m.gguf -p "The meaning to life and the universe is"
62
+ ```
63
+ or
64
+ ```
65
+ ./llama-server --hf-repo itlwas/SeaLLM-7B-v2.5-Q4_K_M-GGUF --hf-file seallm-7b-v2.5-q4_k_m.gguf -c 2048
66
+ ```