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metadata
base_model: OpenLLM-Ro/RoLlama2-7b-Chat
inference: false
language:
  - ro
library_name: gguf
license: cc-by-nc-4.0
pipeline_tag: text-generation
quantized_by: legraphista
tags:
  - quantized
  - GGUF
  - imatrix
  - quantization

RoLlama2-7b-Chat-IMat-GGUF

Llama.cpp imatrix quantization of RoLlama2-7b-Chat-IMat-GGUF

Original Model: OpenLLM-Ro/RoLlama2-7b-Chat
Original dtype: FP32 (float32)
Quantized by: llama.cpp b2998
IMatrix dataset: here

Files

IMatrix

Status: ⏳ Processing
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
RoLlama2-7b-Chat.Q8_0.gguf Q8_0 7.16GB βœ… Available No πŸ“¦ No
RoLlama2-7b-Chat.Q6_K.gguf Q6_K 5.53GB βœ… Available No πŸ“¦ No
RoLlama2-7b-Chat.Q4_K Q4_K - ⏳ Processing Yes -
RoLlama2-7b-Chat.Q3_K Q3_K - ⏳ Processing Yes -
RoLlama2-7b-Chat.Q2_K Q2_K - ⏳ Processing Yes -

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
RoLlama2-7b-Chat.FP16.gguf F16 13.48GB βœ… Available No πŸ“¦ No
RoLlama2-7b-Chat.BF16 BF16 - ⏳ Processing No -
RoLlama2-7b-Chat.Q5_K.gguf Q5_K 4.78GB βœ… Available No πŸ“¦ No
RoLlama2-7b-Chat.Q5_K_S Q5_K_S - ⏳ Processing No -
RoLlama2-7b-Chat.Q4_K_S Q4_K_S - ⏳ Processing Yes -
RoLlama2-7b-Chat.Q3_K_L Q3_K_L - ⏳ Processing Yes -
RoLlama2-7b-Chat.Q3_K_S Q3_K_S - ⏳ Processing Yes -
RoLlama2-7b-Chat.Q2_K_S Q2_K_S - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ4_NL IQ4_NL - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ4_XS IQ4_XS - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ3_M IQ3_M - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ3_S IQ3_S - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ3_XS IQ3_XS - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ3_XXS IQ3_XXS - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ2_M IQ2_M - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ2_S IQ2_S - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ2_XS IQ2_XS - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ2_XXS IQ2_XXS - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ1_M IQ1_M - ⏳ Processing Yes -
RoLlama2-7b-Chat.IQ1_S IQ1_S - ⏳ Processing Yes -

Downloading using huggingface-cli

First, make sure you have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Then, you can target the specific file you want:

huggingface-cli download legraphista/RoLlama2-7b-Chat-IMat-GGUF --include "RoLlama2-7b-Chat.Q8_0.gguf" --local-dir ./

If the model is bigger than 50GB, it will have been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download legraphista/RoLlama2-7b-Chat-IMat-GGUF --include "RoLlama2-7b-Chat.Q8_0/*" --local-dir RoLlama2-7b-Chat.Q8_0
# see FAQ for merging GGUF's

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

How do I merge a split GGUF?

  1. Make sure you have gguf-split available
  2. Locate your GGUF chunks folder (ex: RoLlama2-7b-Chat.Q8_0)
  3. Run gguf-split --merge RoLlama2-7b-Chat.Q8_0/RoLlama2-7b-Chat.Q8_0-00001-of-XXXXX.gguf RoLlama2-7b-Chat.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!