Text Generation
GGUF
English
shining-valiant
shining-valiant-2
valiant
valiant-labs
llama
llama-3.2
llama-3.2-instruct
llama-3.2-instruct-3b
llama-3
llama-3-instruct
llama-3-instruct-3b
3b
science
physics
biology
chemistry
compsci
computer-science
engineering
technical
conversational
chat
instruct
llama-cpp
gguf-my-repo
Eval Results
Inference Endpoints
Triangle104
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Commit
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Parent(s):
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README.md
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1 |
+
---
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+
language:
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- en
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4 |
+
license: llama3.2
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tags:
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+
- shining-valiant
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- shining-valiant-2
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- valiant
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- valiant-labs
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- llama
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- llama-3.2
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- llama-3.2-instruct
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- llama-3.2-instruct-3b
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- llama-3
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- llama-3-instruct
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- llama-3-instruct-3b
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- 3b
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- science
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- physics
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- biology
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- chemistry
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- compsci
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23 |
+
- computer-science
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24 |
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- engineering
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25 |
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- technical
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- conversational
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- chat
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- instruct
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+
- llama-cpp
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+
- gguf-my-repo
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+
base_model: ValiantLabs/Llama3.2-3B-ShiningValiant2
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+
datasets:
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+
- sequelbox/Celestia
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+
- sequelbox/Spurline
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- sequelbox/Supernova
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pipeline_tag: text-generation
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+
model_type: llama
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+
model-index:
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+
- name: Llama3.2-3B-ShiningValiant2
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+
results:
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+
- task:
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+
type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 69.14
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name: acc
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- task:
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+
type: text-generation
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+
name: Text Generation
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dataset:
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name: MMLU College Biology (5-shot)
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type: mmlu
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.58
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+
name: acc
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+
- type: acc
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value: 70.32
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+
name: acc
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- type: acc
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+
value: 44.0
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+
name: acc
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+
- type: acc
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value: 50.25
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+
name: acc
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+
- type: acc
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value: 42.16
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+
name: acc
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- type: acc
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value: 35.76
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+
name: acc
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+
- type: acc
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+
value: 53.19
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name: acc
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- type: acc
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value: 53.0
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+
name: acc
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+
- type: acc
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value: 61.0
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+
name: acc
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- type: acc
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value: 60.53
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name: acc
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 48.9
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 19.11
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 9.14
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 3.02
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.49
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+
name: acc_norm
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+
source:
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+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
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+
name: Open LLM Leaderboard
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- task:
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type: text-generation
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+
name: Text Generation
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+
dataset:
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name: MMLU-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 19.1
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ValiantLabs/Llama3.2-3B-ShiningValiant2
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name: Open LLM Leaderboard
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---
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# Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_S-GGUF
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This model was converted to GGUF format from [`ValiantLabs/Llama3.2-3B-ShiningValiant2`](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/ValiantLabs/Llama3.2-3B-ShiningValiant2) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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```bash
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brew install llama.cpp
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```
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Invoke the llama.cpp server or the CLI.
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### CLI:
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```bash
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llama-cli --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_s.gguf -p "The meaning to life and the universe is"
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```
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### Server:
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```bash
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llama-server --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_s.gguf -c 2048
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```
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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.
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Step 1: Clone llama.cpp from GitHub.
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```
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git clone https://github.com/ggerganov/llama.cpp
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```
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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).
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```
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cd llama.cpp && LLAMA_CURL=1 make
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```
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Step 3: Run inference through the main binary.
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```
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./llama-cli --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_s.gguf -p "The meaning to life and the universe is"
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```
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or
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```
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./llama-server --hf-repo Triangle104/Llama3.2-3B-ShiningValiant2-Q4_K_S-GGUF --hf-file llama3.2-3b-shiningvaliant2-q4_k_s.gguf -c 2048
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```
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