Downloads · 30 days
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legraphista/AutoCoder-IMat-GGUF
AutoCoder-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. The card lists the license as apache-2.0.
Llama.cpp imatrix quantization of Bin12345/AutoCoder
Downloads · 30 days
1.2K
6% of all-time downloads
All-time downloads
20.2K
Public
Repo size
502 GB
Likes
1
Public
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.gguf502 GB · 100%
From the Hugging Face model README
Llama.cpp imatrix quantization of Bin12345/AutoCoder
Original Model: Bin12345/AutoCoder
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3010
IMatrix dataset: here
Status: ✅ Available
Link: here
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| AutoCoder.Q8_0.gguf | Q8_0 | 35.43GB | ✅ Available | ⚪ Static | 📦 No |
| AutoCoder.Q6_K.gguf | Q6_K | 27.36GB | ✅ Available | ⚪ Static | 📦 No |
| AutoCoder.Q4_K.gguf | Q4_K | 19.94GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.Q3_K.gguf | Q3_K | 16.09GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.Q2_K.gguf | Q2_K | 12.36GB | ✅ Available | 🟢 IMatrix | 📦 No |
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
|---|---|---|---|---|---|
| AutoCoder.BF16/* | BF16 | 66.69GB | ✅ Available | ⚪ Static | ✂ Yes |
| AutoCoder.FP16/* | F16 | 66.69GB | ✅ Available | ⚪ Static | ✂ Yes |
| AutoCoder.Q5_K.gguf | Q5_K | 23.54GB | ✅ Available | ⚪ Static | 📦 No |
| AutoCoder.Q5_K_S.gguf | Q5_K_S | 22.96GB | ✅ Available | ⚪ Static | 📦 No |
| AutoCoder.Q4_K_S.gguf | Q4_K_S | 18.94GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.Q3_K_L.gguf | Q3_K_L | 17.56GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.Q3_K_S.gguf | Q3_K_S | 14.42GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.Q2_K_S.gguf | Q2_K_S | 11.39GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ4_NL.gguf | IQ4_NL | 18.88GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ4_XS.gguf | IQ4_XS | 17.86GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ3_M.gguf | IQ3_M | 15.03GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ3_S.gguf | IQ3_S | 14.48GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ3_XS.gguf | IQ3_XS | 13.71GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ3_XXS.gguf | IQ3_XXS | 12.85GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ2_M.gguf | IQ2_M | 11.36GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ2_S.gguf | IQ2_S | 10.48GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ2_XS.gguf | IQ2_XS | 9.91GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ2_XXS.gguf | IQ2_XXS | 8.92GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ1_M.gguf | IQ1_M | 7.82GB | ✅ Available | 🟢 IMatrix | 📦 No |
| AutoCoder.IQ1_S.gguf | IQ1_S | 7.16GB | ✅ 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/AutoCoder-IMat-GGUF --include "AutoCoder.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/AutoCoder-IMat-GGUF --include "AutoCoder.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's
Human: Can you provide ways to eat combinations of bananas and dragonfruits?
Assistant: Sure! Here are some ways to eat bananas and dragonfruits together:
1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|EOT|>
Human: What about solving an 2x + 3 = 7 equation?
Assistant:
You are a helpful AI.
Human: Can you provide ways to eat combinations of bananas and dragonfruits?
Assistant: Sure! Here are some ways to eat bananas and dragonfruits together:
1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey.<|EOT|>
Human: What about solving an 2x + 3 = 7 equation?
Assistant:
llama.cpp/main -m AutoCoder.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-splitAutoCoder.Q8_0)gguf-split --merge AutoCoder.Q8_0/AutoCoder.Q8_0-00001-of-XXXXX.gguf AutoCoder.Q8_0.gguf
gguf-split to the first chunk of the split.Got a suggestion? Ping me @legraphista!