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+
---
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+
base_model: adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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datasets:
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- adalbertojunior/dolphin_portuguese_legal
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language:
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- pt
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library_name: transformers
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tags:
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- llama-cpp
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- gguf-my-repo
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+
model-index:
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+
- name: Llama-3-8B-Dolphin-Portuguese-v0.3
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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: ENEM Challenge (No Images)
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type: eduagarcia/enem_challenge
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split: train
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args:
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num_few_shot: 3
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metrics:
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- type: acc
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value: 68.86
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+
name: accuracy
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+
source:
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+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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+
name: Open Portuguese 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: BLUEX (No Images)
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type: eduagarcia-temp/BLUEX_without_images
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+
split: train
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+
args:
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+
num_few_shot: 3
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+
metrics:
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+
- type: acc
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value: 57.86
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+
name: accuracy
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+
source:
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+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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+
name: Open Portuguese 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: OAB Exams
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+
type: eduagarcia/oab_exams
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split: train
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args:
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num_few_shot: 3
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+
metrics:
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+
- type: acc
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value: 61.91
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+
name: accuracy
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+
source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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name: Open Portuguese 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: Assin2 RTE
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+
type: assin2
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split: test
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args:
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+
num_few_shot: 15
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+
metrics:
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+
- type: f1_macro
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value: 93.05
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+
name: f1-macro
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+
source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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+
name: Open Portuguese 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: Assin2 STS
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type: eduagarcia/portuguese_benchmark
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: pearson
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value: 76.48
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name: pearson
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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name: Open Portuguese 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: FaQuAD NLI
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type: ruanchaves/faquad-nli
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split: test
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args:
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num_few_shot: 15
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metrics:
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- type: f1_macro
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value: 76.78
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name: f1-macro
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source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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name: Open Portuguese 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: HateBR Binary
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type: ruanchaves/hatebr
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: f1_macro
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value: 83.25
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+
name: f1-macro
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+
source:
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+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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name: Open Portuguese 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: PT Hate Speech Binary
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type: hate_speech_portuguese
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split: test
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args:
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num_few_shot: 25
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+
metrics:
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- type: f1_macro
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value: 68.85
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name: f1-macro
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+
source:
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+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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+
name: Open Portuguese 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: tweetSentBR
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+
type: eduagarcia/tweetsentbr_fewshot
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split: test
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args:
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num_few_shot: 25
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+
metrics:
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- type: f1_macro
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value: 71.3
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+
name: f1-macro
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+
source:
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url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3
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name: Open Portuguese LLM Leaderboard
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---
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# brazilianslib/Llama-3-8B-Dolphin-Portuguese-v0.3-Q8_0-GGUF
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This model was converted to GGUF format from [`adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3`](https://huggingface.co/adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3) 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/adalbertojunior/Llama-3-8B-Dolphin-Portuguese-v0.3) 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 brazilianslib/Llama-3-8B-Dolphin-Portuguese-v0.3-Q8_0-GGUF --hf-file llama-3-8b-dolphin-portuguese-v0.3-q8_0.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 brazilianslib/Llama-3-8B-Dolphin-Portuguese-v0.3-Q8_0-GGUF --hf-file llama-3-8b-dolphin-portuguese-v0.3-q8_0.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 brazilianslib/Llama-3-8B-Dolphin-Portuguese-v0.3-Q8_0-GGUF --hf-file llama-3-8b-dolphin-portuguese-v0.3-q8_0.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 brazilianslib/Llama-3-8B-Dolphin-Portuguese-v0.3-Q8_0-GGUF --hf-file llama-3-8b-dolphin-portuguese-v0.3-q8_0.gguf -c 2048
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```
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