Triangle104 commited on
Commit
6a9f31e
1 Parent(s): a8e8ac6

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +62 -0
README.md ADDED
@@ -0,0 +1,62 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0
3
+ datasets:
4
+ - anthracite-org/kalo-opus-instruct-22k-no-refusal
5
+ - Nopm/Opus_WritingStruct
6
+ - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
7
+ - Gryphe/Sonnet3.5-Charcard-Roleplay
8
+ - Gryphe/ChatGPT-4o-Writing-Prompts
9
+ - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
10
+ - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
11
+ - nothingiisreal/Reddit-Dirty-And-WritingPrompts
12
+ - allura-org/Celeste-1.x-data-mixture
13
+ - allura-org/shortstories_synthlabels
14
+ license: apache-2.0
15
+ tags:
16
+ - llama-cpp
17
+ - gguf-my-repo
18
+ ---
19
+
20
+ # Triangle104/EVA-Qwen2.5-14B-v0.0-Q4_K_S-GGUF
21
+ This model was converted to GGUF format from [`EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0`](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
22
+ Refer to the [original model card](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.0) for more details on the model.
23
+
24
+ ## Use with llama.cpp
25
+ Install llama.cpp through brew (works on Mac and Linux)
26
+
27
+ ```bash
28
+ brew install llama.cpp
29
+
30
+ ```
31
+ Invoke the llama.cpp server or the CLI.
32
+
33
+ ### CLI:
34
+ ```bash
35
+ llama-cli --hf-repo Triangle104/EVA-Qwen2.5-14B-v0.0-Q4_K_S-GGUF --hf-file eva-qwen2.5-14b-v0.0-q4_k_s.gguf -p "The meaning to life and the universe is"
36
+ ```
37
+
38
+ ### Server:
39
+ ```bash
40
+ llama-server --hf-repo Triangle104/EVA-Qwen2.5-14B-v0.0-Q4_K_S-GGUF --hf-file eva-qwen2.5-14b-v0.0-q4_k_s.gguf -c 2048
41
+ ```
42
+
43
+ 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.
44
+
45
+ Step 1: Clone llama.cpp from GitHub.
46
+ ```
47
+ git clone https://github.com/ggerganov/llama.cpp
48
+ ```
49
+
50
+ 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).
51
+ ```
52
+ cd llama.cpp && LLAMA_CURL=1 make
53
+ ```
54
+
55
+ Step 3: Run inference through the main binary.
56
+ ```
57
+ ./llama-cli --hf-repo Triangle104/EVA-Qwen2.5-14B-v0.0-Q4_K_S-GGUF --hf-file eva-qwen2.5-14b-v0.0-q4_k_s.gguf -p "The meaning to life and the universe is"
58
+ ```
59
+ or
60
+ ```
61
+ ./llama-server --hf-repo Triangle104/EVA-Qwen2.5-14B-v0.0-Q4_K_S-GGUF --hf-file eva-qwen2.5-14b-v0.0-q4_k_s.gguf -c 2048
62
+ ```