Alex01837178373 commited on
Commit
1b6ac62
1 Parent(s): 2d1b6c3

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +57 -0
README.md ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Vikhrmodels/Vikhr-Gemma-2B-instruct
3
+ datasets:
4
+ - Vikhrmodels/GrandMaster-PRO-MAX
5
+ language:
6
+ - ru
7
+ library_name: transformers
8
+ license: apache-2.0
9
+ model_name: Vikhr-Gemma-2B-instruct
10
+ tags:
11
+ - llama-cpp
12
+ - gguf-my-repo
13
+ ---
14
+
15
+ # Alex01837178373/Vikhr-Gemma-2B-instruct-Q4_K_M-GGUF
16
+ This model was converted to GGUF format from [`Vikhrmodels/Vikhr-Gemma-2B-instruct`](https://huggingface.co/Vikhrmodels/Vikhr-Gemma-2B-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
17
+ Refer to the [original model card](https://huggingface.co/Vikhrmodels/Vikhr-Gemma-2B-instruct) for more details on the model.
18
+
19
+ ## Use with llama.cpp
20
+ Install llama.cpp through brew (works on Mac and Linux)
21
+
22
+ ```bash
23
+ brew install llama.cpp
24
+
25
+ ```
26
+ Invoke the llama.cpp server or the CLI.
27
+
28
+ ### CLI:
29
+ ```bash
30
+ llama-cli --hf-repo Alex01837178373/Vikhr-Gemma-2B-instruct-Q4_K_M-GGUF --hf-file vikhr-gemma-2b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
31
+ ```
32
+
33
+ ### Server:
34
+ ```bash
35
+ llama-server --hf-repo Alex01837178373/Vikhr-Gemma-2B-instruct-Q4_K_M-GGUF --hf-file vikhr-gemma-2b-instruct-q4_k_m.gguf -c 2048
36
+ ```
37
+
38
+ 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.
39
+
40
+ Step 1: Clone llama.cpp from GitHub.
41
+ ```
42
+ git clone https://github.com/ggerganov/llama.cpp
43
+ ```
44
+
45
+ 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).
46
+ ```
47
+ cd llama.cpp && LLAMA_CURL=1 make
48
+ ```
49
+
50
+ Step 3: Run inference through the main binary.
51
+ ```
52
+ ./llama-cli --hf-repo Alex01837178373/Vikhr-Gemma-2B-instruct-Q4_K_M-GGUF --hf-file vikhr-gemma-2b-instruct-q4_k_m.gguf -p "The meaning to life and the universe is"
53
+ ```
54
+ or
55
+ ```
56
+ ./llama-server --hf-repo Alex01837178373/Vikhr-Gemma-2B-instruct-Q4_K_M-GGUF --hf-file vikhr-gemma-2b-instruct-q4_k_m.gguf -c 2048
57
+ ```