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language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
- llama-cpp
- gguf-my-repo
license: other
license_name: fair
license_link: LICENSE
base_model: facebook/layerskip-llama3.2-1B
model-index:
- name: LayerSkip Llama3.2 1B
results:
- task:
type: question-answering
dataset:
name: BoolQ
type: google/boolq
metrics:
- type: acc
value: 0.646
name: acc
verified: false
- task:
type: question-answering
dataset:
name: PIQA
type: ybisk/piqa
metrics:
- type: acc
value: 0.724
name: acc
verified: false
- task:
type: question-answering
dataset:
name: SIQA
type: allenai/social_i_qa
metrics:
- type: acc
value: 0.419
name: acc
verified: false
- task:
type: text-generation
dataset:
name: HellaSwag
type: Rowan/hellaswag
metrics:
- type: acc
value: 0.455
name: acc
verified: false
- task:
type: question-answering
dataset:
name: WinoGrande
type: allenai/winogrande
metrics:
- type: acc
value: 0.6
name: acc
verified: false
- task:
type: question-answering
dataset:
name: ARC (Easy)
type: allenai/ai2_arc
metrics:
- type: acc
value: 0.651
name: acc
verified: false
- type: acc
value: 0.295
name: acc
verified: false
- task:
type: question-answering
dataset:
name: OpenBookQA
type: allenai/openbookqa
metrics:
- type: acc
value: 0.258
name: acc
verified: false
- task:
type: question-answering
dataset:
name: RACE
type: ehovy/race
metrics:
- type: acc
value: 0.354
name: acc
verified: false
- task:
type: question-answering
dataset:
name: MMLU
type: cais/mmlu
metrics:
- type: acc
value: 0.247
name: acc
verified: false
- task:
type: text-generation
dataset:
name: Natural Questions
type: google-research-datasets/nq_open
metrics:
- type: exact_match
value: 0.038
name: exact_match
verified: false
- task:
type: question-answering
dataset:
name: TriviaQA
type: sentence-transformers/trivia-qa
metrics:
- type: acc
value: 0.121
name: acc
verified: false
- task:
type: text-generation
dataset:
name: GSM8K
type: openai/gsm8k
metrics:
- type: exact_match
value: 0.024
name: exact_match
verified: false
- task:
type: question-answering
dataset:
name: MathQA
type: allenai/math_qa
metrics:
- type: acc
value: 0.259
name: acc
verified: false
- task:
type: question-answering
dataset:
name: SQuAD2.0
type: rajpurkar/squad_v2
metrics:
- type: exact
value: 0.355
name: exact
verified: false
- task:
type: text-classification
dataset:
name: ToxiGen
type: toxigen/toxigen-data
metrics:
- type: acc
value: 0.431
name: acc
verified: false
- task:
type: text-generation
dataset:
name: HumanEval
type: openai_humaneval
metrics:
- type: pass@1
value: 0.024
name: pass@1
verified: false
- task:
type: text-generation
dataset:
name: MBPP
type: mbpp
metrics:
- type: pass@1
value: 0.062
name: pass@1
verified: false
impactframes/layerskip-llama3.2-1B-Q4_K_M-GGUF
This model was converted to GGUF format from facebook/layerskip-llama3.2-1B using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.
Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)
brew install llama.cpp
Invoke the llama.cpp server or the CLI.
CLI:
llama-cli --hf-repo impactframes/layerskip-llama3.2-1B-Q4_K_M-GGUF --hf-file layerskip-llama3.2-1b-q4_k_m.gguf -p "The meaning to life and the universe is"
Server:
llama-server --hf-repo impactframes/layerskip-llama3.2-1B-Q4_K_M-GGUF --hf-file layerskip-llama3.2-1b-q4_k_m.gguf -c 2048
Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.
Step 1: Clone llama.cpp from GitHub.
git clone https://github.com/ggerganov/llama.cpp
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).
cd llama.cpp && LLAMA_CURL=1 make
Step 3: Run inference through the main binary.
./llama-cli --hf-repo impactframes/layerskip-llama3.2-1B-Q4_K_M-GGUF --hf-file layerskip-llama3.2-1b-q4_k_m.gguf -p "The meaning to life and the universe is"
or
./llama-server --hf-repo impactframes/layerskip-llama3.2-1B-Q4_K_M-GGUF --hf-file layerskip-llama3.2-1b-q4_k_m.gguf -c 2048