Triangle104 commited on
Commit
f927057
1 Parent(s): 62ae8d2

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +63 -0
README.md ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: llama3
3
+ license_name: llama3
4
+ license_link: LICENSE
5
+ library_name: transformers
6
+ tags:
7
+ - not-for-all-audiences
8
+ - mergekit
9
+ - llama-cpp
10
+ - gguf-my-repo
11
+ datasets:
12
+ - crestf411/LimaRP-DS
13
+ - Gryphe/Sonnet3.5-Charcard-Roleplay
14
+ - anthracite-org/c2_logs_32k_mistral-v3_v1.2_no_system
15
+ - anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
16
+ - anthracite-org/kalo-opus-instruct-3k-filtered-no-system
17
+ - anthracite-org/nopm_claude_writing_fixed
18
+ base_model: crestf411/L3.1-8B-Slush-v1.1
19
+ ---
20
+
21
+ # Triangle104/L3.1-8B-Slush-v1.1-Q6_K-GGUF
22
+ This model was converted to GGUF format from [`crestf411/L3.1-8B-Slush-v1.1`](https://huggingface.co/crestf411/L3.1-8B-Slush-v1.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
23
+ Refer to the [original model card](https://huggingface.co/crestf411/L3.1-8B-Slush-v1.1) for more details on the model.
24
+
25
+ ## Use with llama.cpp
26
+ Install llama.cpp through brew (works on Mac and Linux)
27
+
28
+ ```bash
29
+ brew install llama.cpp
30
+
31
+ ```
32
+ Invoke the llama.cpp server or the CLI.
33
+
34
+ ### CLI:
35
+ ```bash
36
+ llama-cli --hf-repo Triangle104/L3.1-8B-Slush-v1.1-Q6_K-GGUF --hf-file l3.1-8b-slush-v1.1-q6_k.gguf -p "The meaning to life and the universe is"
37
+ ```
38
+
39
+ ### Server:
40
+ ```bash
41
+ llama-server --hf-repo Triangle104/L3.1-8B-Slush-v1.1-Q6_K-GGUF --hf-file l3.1-8b-slush-v1.1-q6_k.gguf -c 2048
42
+ ```
43
+
44
+ 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.
45
+
46
+ Step 1: Clone llama.cpp from GitHub.
47
+ ```
48
+ git clone https://github.com/ggerganov/llama.cpp
49
+ ```
50
+
51
+ 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).
52
+ ```
53
+ cd llama.cpp && LLAMA_CURL=1 make
54
+ ```
55
+
56
+ Step 3: Run inference through the main binary.
57
+ ```
58
+ ./llama-cli --hf-repo Triangle104/L3.1-8B-Slush-v1.1-Q6_K-GGUF --hf-file l3.1-8b-slush-v1.1-q6_k.gguf -p "The meaning to life and the universe is"
59
+ ```
60
+ or
61
+ ```
62
+ ./llama-server --hf-repo Triangle104/L3.1-8B-Slush-v1.1-Q6_K-GGUF --hf-file l3.1-8b-slush-v1.1-q6_k.gguf -c 2048
63
+ ```