reach-vb HF staff commited on
Commit
ea43547
1 Parent(s): 4bd1987

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +64 -0
README.md ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: HuggingFaceTB/smollm-1.7B-instruct-add-basics
3
+ datasets:
4
+ - HuggingFaceTB/Magpie-Pro-300K-Filtered-H4
5
+ - HuggingFaceTB/self-oss-instruct-sc2-H4
6
+ - HuggingFaceTB/OpenHermes-2.5-H4
7
+ - HuggingFaceTB/everyday-topics-MT-conversations-H4
8
+ - HuggingFaceTB/instruct-data-basics-H4
9
+ license: apache-2.0
10
+ tags:
11
+ - alignment-handbook
12
+ - trl
13
+ - sft
14
+ - generated_from_trainer
15
+ - llama-cpp
16
+ - gguf-my-repo
17
+ model-index:
18
+ - name: smollm-1.7B-instruct-add-basics
19
+ results: []
20
+ ---
21
+
22
+ # reach-vb/smollm-1.7B-instruct-add-basics-Q8_0-GGUF
23
+ This model was converted to GGUF format from [`HuggingFaceTB/smollm-1.7B-instruct-add-basics`](https://huggingface.co/HuggingFaceTB/smollm-1.7B-instruct-add-basics) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
24
+ Refer to the [original model card](https://huggingface.co/HuggingFaceTB/smollm-1.7B-instruct-add-basics) for more details on the model.
25
+
26
+ ## Use with llama.cpp
27
+ Install llama.cpp through brew (works on Mac and Linux)
28
+
29
+ ```bash
30
+ brew install llama.cpp
31
+
32
+ ```
33
+ Invoke the llama.cpp server or the CLI.
34
+
35
+ ### CLI:
36
+ ```bash
37
+ llama-cli --hf-repo reach-vb/smollm-1.7B-instruct-add-basics-Q8_0-GGUF --hf-file smollm-1.7b-instruct-add-basics-q8_0.gguf -p "The meaning to life and the universe is"
38
+ ```
39
+
40
+ ### Server:
41
+ ```bash
42
+ llama-server --hf-repo reach-vb/smollm-1.7B-instruct-add-basics-Q8_0-GGUF --hf-file smollm-1.7b-instruct-add-basics-q8_0.gguf -c 2048
43
+ ```
44
+
45
+ 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.
46
+
47
+ Step 1: Clone llama.cpp from GitHub.
48
+ ```
49
+ git clone https://github.com/ggerganov/llama.cpp
50
+ ```
51
+
52
+ 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).
53
+ ```
54
+ cd llama.cpp && LLAMA_CURL=1 make
55
+ ```
56
+
57
+ Step 3: Run inference through the main binary.
58
+ ```
59
+ ./llama-cli --hf-repo reach-vb/smollm-1.7B-instruct-add-basics-Q8_0-GGUF --hf-file smollm-1.7b-instruct-add-basics-q8_0.gguf -p "The meaning to life and the universe is"
60
+ ```
61
+ or
62
+ ```
63
+ ./llama-server --hf-repo reach-vb/smollm-1.7B-instruct-add-basics-Q8_0-GGUF --hf-file smollm-1.7b-instruct-add-basics-q8_0.gguf -c 2048
64
+ ```