README.md

metadata

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?

---

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.Q8_0/*	Q8_0	74.98GB	✅ Available	⚪ Static	✂ Yes
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q6_K/*	Q6_K	57.89GB	✅ Available	⚪ Static	✂ Yes
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q4_K.gguf	Q4_K	42.52GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3_K.gguf	Q3_K	34.27GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q2_K.gguf	Q2_K	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.Q8_0/*	Q8_0	74.98GB	✅ Available	⚪ Static	✂ Yes
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q6_K/*	Q6_K	57.89GB	✅ Available	⚪ Static	✂ Yes
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q5_K/*	Q5_K	49.95GB	✅ Available	⚪ Static	✂ Yes
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q5_K_S/*	Q5_K_S	48.66GB	✅ Available	⚪ Static	✂ Yes
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q4_K.gguf	Q4_K	42.52GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q4_K_S.gguf	Q4_K_S	40.35GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ4_NL.gguf	IQ4_NL	40.05GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ4_XS.gguf	IQ4_XS	37.90GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3_K.gguf	Q3_K	34.27GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3_K_L.gguf	Q3_K_L	37.14GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q3_K_S.gguf	Q3_K_S	30.91GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3_M.gguf	IQ3_M	31.94GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3_S.gguf	IQ3_S	30.91GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3_XS.gguf	IQ3_XS	29.31GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ3_XXS.gguf	IQ3_XXS	27.47GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q2_K.gguf	Q2_K	26.38GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q2_K_S.gguf	Q2_K_S	24.47GB	✅ Available	🟢 IMatrix	📦 No
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2_M	IQ2_M	-	⏳ Processing	🟢 IMatrix	-
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2_S	IQ2_S	-	⏳ Processing	🟢 IMatrix	-
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2_XS	IQ2_XS	-	⏳ Processing	🟢 IMatrix	-
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ2_XXS	IQ2_XXS	-	⏳ Processing	🟢 IMatrix	-
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ1_M	IQ1_M	-	⏳ Processing	🟢 IMatrix	-
Meta-Llama-3-70B-Instruct-abliterated-v3.5.IQ1_S	IQ1_S	-	⏳ Processing	🟢 IMatrix	-

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

---

Inference

Simple chat template

<|begin_of_text|><|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|>

Chat template with system prompt

<|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|>

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)"

---

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
2. Locate your GGUF chunks folder (ex: Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q8_0)
3. Run gguf-split --merge Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q8_0/Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q8_0-00001-of-XXXXX.gguf Meta-Llama-3-70B-Instruct-abliterated-v3.5.Q8_0.gguf
   • Make sure to point gguf-split to the first chunk of the split.

---

Got a suggestion? Ping me @legraphista!