Vencibo commited on
Commit
599dd3b
1 Parent(s): 110f167

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +60 -0
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: INSAIT-Institute/BgGPT-7B-Instruct-v0.2
3
+ language:
4
+ - bg
5
+ - en
6
+ library_name: transformers
7
+ license: apache-2.0
8
+ pipeline_tag: text-generation
9
+ tags:
10
+ - mistral
11
+ - instruct
12
+ - bggpt
13
+ - insait
14
+ - llama-cpp
15
+ - gguf-my-repo
16
+ ---
17
+
18
+ # Vencibo/BgGPT-7B-Instruct-v0.2-Q5_K_M-GGUF
19
+ This model was converted to GGUF format from [`INSAIT-Institute/BgGPT-7B-Instruct-v0.2`](https://huggingface.co/INSAIT-Institute/BgGPT-7B-Instruct-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
20
+ Refer to the [original model card](https://huggingface.co/INSAIT-Institute/BgGPT-7B-Instruct-v0.2) for more details on the model.
21
+
22
+ ## Use with llama.cpp
23
+ Install llama.cpp through brew (works on Mac and Linux)
24
+
25
+ ```bash
26
+ brew install llama.cpp
27
+
28
+ ```
29
+ Invoke the llama.cpp server or the CLI.
30
+
31
+ ### CLI:
32
+ ```bash
33
+ llama-cli --hf-repo Vencibo/BgGPT-7B-Instruct-v0.2-Q5_K_M-GGUF --hf-file bggpt-7b-instruct-v0.2-q5_k_m-imat.gguf -p "The meaning to life and the universe is"
34
+ ```
35
+
36
+ ### Server:
37
+ ```bash
38
+ llama-server --hf-repo Vencibo/BgGPT-7B-Instruct-v0.2-Q5_K_M-GGUF --hf-file bggpt-7b-instruct-v0.2-q5_k_m-imat.gguf -c 2048
39
+ ```
40
+
41
+ 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.
42
+
43
+ Step 1: Clone llama.cpp from GitHub.
44
+ ```
45
+ git clone https://github.com/ggerganov/llama.cpp
46
+ ```
47
+
48
+ 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).
49
+ ```
50
+ cd llama.cpp && LLAMA_CURL=1 make
51
+ ```
52
+
53
+ Step 3: Run inference through the main binary.
54
+ ```
55
+ ./llama-cli --hf-repo Vencibo/BgGPT-7B-Instruct-v0.2-Q5_K_M-GGUF --hf-file bggpt-7b-instruct-v0.2-q5_k_m-imat.gguf -p "The meaning to life and the universe is"
56
+ ```
57
+ or
58
+ ```
59
+ ./llama-server --hf-repo Vencibo/BgGPT-7B-Instruct-v0.2-Q5_K_M-GGUF --hf-file bggpt-7b-instruct-v0.2-q5_k_m-imat.gguf -c 2048
60
+ ```