---

base_model: failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5 inference: false library_name: gguf license: llama3 pipeline_tag: text-generation quantized_by: legraphista tags:

• quantized
• GGUF
• imatrix
• quantization
• imat
• imatrix
• static
• 16bit
• 8bit
• 6bit
• 5bit
• 4bit
• 3bit
• 2bit
• 1bit

---

Meta-Llama-3-70B-Instruct-abliterated-v3.5-IMat-GGUF

Llama.cpp imatrix quantization of failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5

Original Model: failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3058
IMatrix dataset: here

• Files

- IMatrix - Common Quants - All Quants

• Downloading using huggingface-cli
• Inference

- Simple chat template - Chat template with system prompt - Llama.cpp

• FAQ

- Why is the IMatrix not applied everywhere? - How do I merge a split GGUF?

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Files

IMatrix

Status: ✅ Available Link: here

Common Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q80/*	Q80	74.98GB	✅ Available	⚪ Static

✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q6K/* | Q6K | 57.89GB | ✅ Available | ⚪ Static | ✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q4K.gguf | Q4K | 42.52GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3K.gguf | Q3K | 34.27GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q2K.gguf | Q2K | 26.38GB | ✅ Available | 🟢 IMatrix | 📦 No

All Quants

Filename	Quant type	File Size	Status	Uses IMatrix	Is Split
Meta-Llama-3-70B-Instruct-abliterated-v3.5.BF16/*	BF16	141.12GB	✅ Available	⚪ Static

✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.FP16/* | F16 | 141.12GB | ✅ Available | ⚪ Static | ✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q80/* | Q80 | 74.98GB | ✅ Available | ⚪ Static | ✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q6K/* | Q6K | 57.89GB | ✅ Available | ⚪ Static | ✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q5K/* | Q5K | 49.95GB | ✅ Available | ⚪ Static | ✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q5KS/* | Q5K_S | 48.66GB | ✅ Available | ⚪ Static | ✂ Yes | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q4K.gguf | Q4K | 42.52GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q4KS.gguf | Q4K_S | 40.35GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ4NL.gguf | IQ4NL | 40.05GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ4XS.gguf | IQ4XS | 37.90GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3K.gguf | Q3K | 34.27GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3KL.gguf | Q3K_L | 37.14GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3KS.gguf | Q3K_S | 30.91GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3M.gguf | IQ3M | 31.94GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3S.gguf | IQ3S | 30.91GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3XS.gguf | IQ3XS | 29.31GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3XXS.gguf | IQ3XXS | 27.47GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q2K.gguf | Q2K | 26.38GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q2KS.gguf | Q2K_S | 24.47GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2M.gguf | IQ2M | 24.12GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2S.gguf | IQ2S | 22.24GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2XS.gguf | IQ2XS | 21.14GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2XXS.gguf | IQ2XXS | 19.10GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ1M.gguf | IQ1M | 16.75GB | ✅ Available | 🟢 IMatrix | 📦 No | Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ1S.gguf | IQ1S | 15.34GB | ✅ Available | 🟢 IMatrix | 📦 No

Downloading using huggingface-cli

If you do not have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Download the specific file you want:

huggingface-cli download legraphista/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IMat-GGUF --include "Meta-Llama-3-70B-Instruct-abliterated-v3.5.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/Meta-Llama-3-70B-Instruct-abliterated-v3.5-IMat-GGUF --include "Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q8_0/*" --local-dir ./
see FAQ for merging GGUF's

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Inference

Simple chat template

<|beginoftext|><|startheaderid|>user<|endheaderid|>

{userprompt}<|eotid|><|startheaderid|>assistant<|endheaderid|>

{assistantresponse}<|eotid|><|startheaderid|>user<|endheaderid|>

{nextuserprompt}<|eot_id|>

Chat template with system prompt

<|beginoftext|><|startheaderid|>system<|endheaderid|>

{systemprompt}<|eotid|><|startheaderid|>user<|endheaderid|>

{userprompt}<|eotid|><|startheaderid|>assistant<|endheaderid|>

{assistantresponse}<|eotid|><|startheaderid|>user<|endheaderid|>

{nextuserprompt}<|eot_id|>

Llama.cpp

llama.cpp/main -m Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

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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

- To get hold of gguf-split, navigate to https://github.com/ggerganov/llama.cpp/releases - Download the appropriate zip for your system from the latest release - Unzip the archive and you should be able to find gguf-split

1. Locate your GGUF chunks folder (ex: Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q80)
2. Run gguf-split --merge Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q80/Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q80-00001-of-XXXXX.gguf Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q80.gguf

- Make sure to point gguf-split to the first chunk of the split.

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