newsletter commited on
Commit
2d494d0
1 Parent(s): b08b9cf

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +59 -0
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: mistralai/Codestral-22B-v0.1
3
+ language:
4
+ - code
5
+ license: other
6
+ license_name: mnpl
7
+ license_link: https://mistral.ai/licences/MNPL-0.1.md
8
+ tags:
9
+ - code
10
+ - llama-cpp
11
+ - gguf-my-repo
12
+ inference: false
13
+ extra_gated_description: If you want to learn more about how we process your personal
14
+ data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
15
+ ---
16
+
17
+ # newsletter/Codestral-22B-v0.1-Q6_K-GGUF
18
+ This model was converted to GGUF format from [`mistralai/Codestral-22B-v0.1`](https://huggingface.co/mistralai/Codestral-22B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
19
+ Refer to the [original model card](https://huggingface.co/mistralai/Codestral-22B-v0.1) for more details on the model.
20
+
21
+ ## Use with llama.cpp
22
+ Install llama.cpp through brew (works on Mac and Linux)
23
+
24
+ ```bash
25
+ brew install llama.cpp
26
+
27
+ ```
28
+ Invoke the llama.cpp server or the CLI.
29
+
30
+ ### CLI:
31
+ ```bash
32
+ llama-cli --hf-repo newsletter/Codestral-22B-v0.1-Q6_K-GGUF --hf-file codestral-22b-v0.1-q6_k.gguf -p "The meaning to life and the universe is"
33
+ ```
34
+
35
+ ### Server:
36
+ ```bash
37
+ llama-server --hf-repo newsletter/Codestral-22B-v0.1-Q6_K-GGUF --hf-file codestral-22b-v0.1-q6_k.gguf -c 2048
38
+ ```
39
+
40
+ 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.
41
+
42
+ Step 1: Clone llama.cpp from GitHub.
43
+ ```
44
+ git clone https://github.com/ggerganov/llama.cpp
45
+ ```
46
+
47
+ 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).
48
+ ```
49
+ cd llama.cpp && LLAMA_CURL=1 make
50
+ ```
51
+
52
+ Step 3: Run inference through the main binary.
53
+ ```
54
+ ./llama-cli --hf-repo newsletter/Codestral-22B-v0.1-Q6_K-GGUF --hf-file codestral-22b-v0.1-q6_k.gguf -p "The meaning to life and the universe is"
55
+ ```
56
+ or
57
+ ```
58
+ ./llama-server --hf-repo newsletter/Codestral-22B-v0.1-Q6_K-GGUF --hf-file codestral-22b-v0.1-q6_k.gguf -c 2048
59
+ ```