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RoLlama2-7b-Chat-IMat-GGUF

Text Generation
GGUF
Romanian
quantized
GGUF
imatrix
quantization
Model card Files Community
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+ ---
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+ base_model: OpenLLM-Ro/RoLlama2-7b-Chat
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+ inference: false
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+ language:
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+ - ro
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+ library_name: gguf
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+ license: cc-by-nc-4.0
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+ pipeline_tag: text-generation
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+ quantized_by: legraphista
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+ tags:
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+ - quantized
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+ - GGUF
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+ - imatrix
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+ - quantization
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+ ---
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+
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+ # RoLlama2-7b-Chat-IMat-GGUF
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+ _Llama.cpp imatrix quantization of RoLlama2-7b-Chat-IMat-GGUF_
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+
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+ Original Model: [OpenLLM-Ro/RoLlama2-7b-Chat](https://huggingface.co/OpenLLM-Ro/RoLlama2-7b-Chat)
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+ Original dtype: `FP32` (`float32`)
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+ Quantized by: llama.cpp [b2998](https://github.com/ggerganov/llama.cpp/releases/tag/b2998)
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+ IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)
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+
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+ ## Files
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+
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+ ### IMatrix
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+ Status: ⏳ Processing
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+ Link: [here](https://huggingface.co/legraphista/RoLlama2-7b-Chat-IMat-GGUF/blob/main/imatrix.dat)
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+
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+ ### Common Quants
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+ | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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+ | -------- | ---------- | --------- | ------ | ------------ | -------- |
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+ | RoLlama2-7b-Chat.Q8_0 | Q8_0 | - | ⏳ Processing | No | -
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+ | RoLlama2-7b-Chat.Q6_K | Q6_K | - | ⏳ Processing | No | -
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+ | RoLlama2-7b-Chat.Q4_K | Q4_K | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.Q3_K | Q3_K | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.Q2_K | Q2_K | - | ⏳ Processing | Yes | -
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+
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+
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+ ### All Quants
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+ | Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
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+ | -------- | ---------- | --------- | ------ | ------------ | -------- |
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+ | RoLlama2-7b-Chat.FP16 | F16 | - | ⏳ Processing | No | -
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+ | RoLlama2-7b-Chat.BF16 | BF16 | - | ⏳ Processing | No | -
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+ | RoLlama2-7b-Chat.Q5_K | Q5_K | - | ⏳ Processing | No | -
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+ | RoLlama2-7b-Chat.Q5_K_S | Q5_K_S | - | ⏳ Processing | No | -
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+ | RoLlama2-7b-Chat.Q4_K_S | Q4_K_S | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.Q3_K_L | Q3_K_L | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.Q3_K_S | Q3_K_S | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.Q2_K_S | Q2_K_S | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ4_NL | IQ4_NL | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ4_XS | IQ4_XS | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ3_M | IQ3_M | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ3_S | IQ3_S | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ3_XS | IQ3_XS | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ3_XXS | IQ3_XXS | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ2_M | IQ2_M | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ2_S | IQ2_S | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ2_XS | IQ2_XS | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ2_XXS | IQ2_XXS | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ1_M | IQ1_M | - | ⏳ Processing | Yes | -
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+ | RoLlama2-7b-Chat.IQ1_S | IQ1_S | - | ⏳ Processing | Yes | -
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+
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+
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+ ## Downloading using huggingface-cli
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+ First, make sure you have hugginface-cli installed:
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+ ```
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+ pip install -U "huggingface_hub[cli]"
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+ ```
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+ Then, you can target the specific file you want:
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+ ```
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+ huggingface-cli download legraphista/RoLlama2-7b-Chat-IMat-GGUF --include "RoLlama2-7b-Chat.Q8_0.gguf" --local-dir ./
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+ ```
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+ 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:
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+ ```
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+ huggingface-cli download legraphista/RoLlama2-7b-Chat-IMat-GGUF --include "RoLlama2-7b-Chat.Q8_0/*" --local-dir RoLlama2-7b-Chat.Q8_0
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+ # see FAQ for merging GGUF's
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+ ```
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+
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+ ## FAQ
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+
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+ ### Why is the IMatrix not applied everywhere?
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+ According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
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+
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+ ### How do I merge a split GGUF?
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+ 1. Make sure you have `gguf-split` available
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+ - To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
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+ - Download the appropriate zip for your system from the latest release
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+ - Unzip the archive and you should be able to find `gguf-split`
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+ 2. Locate your GGUF chunks folder (ex: `RoLlama2-7b-Chat.Q8_0`)
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+ 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`
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+ - Make sure to point `gguf-split` to the first chunk of the split.
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+
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+ ---
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+
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+ Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!