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legraphista/RoLlama3-8b-Instruct-IMat-GGUF
RoLlama3-8b-Instruct-IMat-GGUF is a text generation model from legraphista. Use it when you need the model to write or continue text. It is set up for gguf.
Llama.cpp imatrix quantization of OpenLLM-Ro/RoLlama3-8b-Instruct
Downloads · 30 days
2K
4% of all-time downloads
All-time downloads
48.6K
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Repo size
125 GB
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3
Public
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.gguf125 GB · 100%
From the Hugging Face model README
Llama.cpp imatrix quantization of OpenLLM-Ro/RoLlama3-8b-Instruct
Original Model: OpenLLM-Ro/RoLlama3-8b-Instruct
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3206
IMatrix dataset: here
Status: ✅ Available
Link: here
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| RoLlama3-8b-Instruct.Q8_0.gguf | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q6_K.gguf | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q4_K.gguf | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q3_K.gguf | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q2_K.gguf | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| RoLlama3-8b-Instruct.BF16.gguf | BF16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.FP16.gguf | F16 | 16.07GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q8_0.gguf | Q8_0 | 8.54GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q6_K.gguf | Q6_K | 6.60GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q5_K.gguf | Q5_K | 5.73GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q5_K_S.gguf | Q5_K_S | 5.60GB | ✅ Available | ⚪ Static | 📦 No |
| RoLlama3-8b-Instruct.Q4_K.gguf | Q4_K | 4.92GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q4_K_S.gguf | Q4_K_S | 4.69GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ4_NL.gguf | IQ4_NL | 4.68GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ4_XS.gguf | IQ4_XS | 4.45GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q3_K.gguf | Q3_K | 4.02GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q3_K_L.gguf | Q3_K_L | 4.32GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q3_K_S.gguf | Q3_K_S | 3.66GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ3_M.gguf | IQ3_M | 3.78GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ3_S.gguf | IQ3_S | 3.68GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ3_XS.gguf | IQ3_XS | 3.52GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ3_XXS.gguf | IQ3_XXS | 3.27GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q2_K.gguf | Q2_K | 3.18GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.Q2_K_S.gguf | Q2_K_S | 2.99GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ2_M.gguf | IQ2_M | 2.95GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ2_S.gguf | IQ2_S | 2.76GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ2_XS.gguf | IQ2_XS | 2.61GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ2_XXS.gguf | IQ2_XXS | 2.40GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ1_M.gguf | IQ1_M | 2.16GB | ✅ Available | 🟢 IMatrix | 📦 No |
| RoLlama3-8b-Instruct.IQ1_S.gguf | IQ1_S | 2.02GB | ✅ Available | 🟢 IMatrix | 📦 No |
If you do not have hugginface-cli installed:
pip install -U "huggingface_hub[cli]"
Download the specific file you want:
huggingface-cli download legraphista/RoLlama3-8b-Instruct-IMat-GGUF --include "RoLlama3-8b-Instruct.Q8_0.gguf" --local-dir ./
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
huggingface-cli download legraphista/RoLlama3-8b-Instruct-IMat-GGUF --include "RoLlama3-8b-Instruct.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
Ești un asistent folositor, respectuos și onest. Încearcă să ajuți cât mai mult prin informațiile oferite, excluzând răspunsuri toxice, rasiste, sexiste, periculoase și ilegale.<|eot_id|><|start_header_id|>user<|end_header_id|>
{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
{next_user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>
{next_user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
llama.cpp/main -m RoLlama3-8b-Instruct.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
gguf-split available
gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releasesgguf-splitRoLlama3-8b-Instruct.Q8_0)gguf-split --merge RoLlama3-8b-Instruct.Q8_0/RoLlama3-8b-Instruct.Q8_0-00001-of-XXXXX.gguf RoLlama3-8b-Instruct.Q8_0.gguf
gguf-split to the first chunk of the split.Got a suggestion? Ping me @legraphista!