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Model: bartowski/S4nfs_Neeto-1.0-8b-GGUF Source: Original Platform
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---
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quantized_by: bartowski
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pipeline_tag: text-generation
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base_model_relation: quantized
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base_model: S4nfs/Neeto-1.0-8b
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---
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## Llamacpp imatrix Quantizations of Neeto-1.0-8b by S4nfs
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Using <a href="https://github.com/ggml-org/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggml-org/llama.cpp/releases/tag/b6317">b6317</a> for quantization.
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Original model: https://huggingface.co/S4nfs/Neeto-1.0-8b
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All quants made using imatrix option with dataset from [here](https://gist.github.com/bartowski1182/eb213dccb3571f863da82e99418f81e8) combined with a subset of combined_all_small.parquet from Ed Addario [here](https://huggingface.co/datasets/eaddario/imatrix-calibration/blob/main/combined_all_small.parquet)
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Run them in [LM Studio](https://lmstudio.ai/)
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Run them directly with [llama.cpp](https://github.com/ggml-org/llama.cpp), or any other llama.cpp based project
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## Prompt format
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No prompt format found, check original model page
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## Download a file (not the whole branch) from below:
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| Filename | Quant type | File Size | Split | Description |
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| -------- | ---------- | --------- | ----- | ----------- |
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| [Neeto-1.0-8b-bf16.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-bf16.gguf) | bf16 | 16.07GB | false | Full BF16 weights. |
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| [Neeto-1.0-8b-Q8_0.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q8_0.gguf) | Q8_0 | 8.54GB | false | Extremely high quality, generally unneeded but max available quant. |
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| [Neeto-1.0-8b-Q6_K_L.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q6_K_L.gguf) | Q6_K_L | 6.85GB | false | Uses Q8_0 for embed and output weights. Very high quality, near perfect, *recommended*. |
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| [Neeto-1.0-8b-Q6_K.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q6_K.gguf) | Q6_K | 6.60GB | false | Very high quality, near perfect, *recommended*. |
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| [Neeto-1.0-8b-Q5_K_L.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q5_K_L.gguf) | Q5_K_L | 6.06GB | false | Uses Q8_0 for embed and output weights. High quality, *recommended*. |
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| [Neeto-1.0-8b-Q5_K_M.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q5_K_M.gguf) | Q5_K_M | 5.73GB | false | High quality, *recommended*. |
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| [Neeto-1.0-8b-Q5_K_S.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q5_K_S.gguf) | Q5_K_S | 5.60GB | false | High quality, *recommended*. |
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| [Neeto-1.0-8b-Q4_K_L.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q4_K_L.gguf) | Q4_K_L | 5.31GB | false | Uses Q8_0 for embed and output weights. Good quality, *recommended*. |
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| [Neeto-1.0-8b-Q4_1.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q4_1.gguf) | Q4_1 | 5.13GB | false | Legacy format, similar performance to Q4_K_S but with improved tokens/watt on Apple silicon. |
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| [Neeto-1.0-8b-Q4_K_M.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q4_K_M.gguf) | Q4_K_M | 4.92GB | false | Good quality, default size for most use cases, *recommended*. |
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| [Neeto-1.0-8b-Q3_K_XL.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q3_K_XL.gguf) | Q3_K_XL | 4.78GB | false | Uses Q8_0 for embed and output weights. Lower quality but usable, good for low RAM availability. |
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| [Neeto-1.0-8b-Q4_K_S.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q4_K_S.gguf) | Q4_K_S | 4.69GB | false | Slightly lower quality with more space savings, *recommended*. |
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| [Neeto-1.0-8b-Q4_0.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q4_0.gguf) | Q4_0 | 4.68GB | false | Legacy format, offers online repacking for ARM and AVX CPU inference. |
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| [Neeto-1.0-8b-IQ4_NL.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-IQ4_NL.gguf) | IQ4_NL | 4.68GB | false | Similar to IQ4_XS, but slightly larger. Offers online repacking for ARM CPU inference. |
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| [Neeto-1.0-8b-IQ4_XS.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-IQ4_XS.gguf) | IQ4_XS | 4.45GB | false | Decent quality, smaller than Q4_K_S with similar performance, *recommended*. |
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| [Neeto-1.0-8b-Q3_K_L.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q3_K_L.gguf) | Q3_K_L | 4.32GB | false | Lower quality but usable, good for low RAM availability. |
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| [Neeto-1.0-8b-Q3_K_M.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q3_K_M.gguf) | Q3_K_M | 4.02GB | false | Low quality. |
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| [Neeto-1.0-8b-IQ3_M.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-IQ3_M.gguf) | IQ3_M | 3.78GB | false | Medium-low quality, new method with decent performance comparable to Q3_K_M. |
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| [Neeto-1.0-8b-Q2_K_L.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q2_K_L.gguf) | Q2_K_L | 3.69GB | false | Uses Q8_0 for embed and output weights. Very low quality but surprisingly usable. |
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| [Neeto-1.0-8b-Q3_K_S.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q3_K_S.gguf) | Q3_K_S | 3.66GB | false | Low quality, not recommended. |
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| [Neeto-1.0-8b-IQ3_XS.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-IQ3_XS.gguf) | IQ3_XS | 3.52GB | false | Lower quality, new method with decent performance, slightly better than Q3_K_S. |
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| [Neeto-1.0-8b-IQ3_XXS.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-IQ3_XXS.gguf) | IQ3_XXS | 3.27GB | false | Lower quality, new method with decent performance, comparable to Q3 quants. |
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| [Neeto-1.0-8b-Q2_K.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-Q2_K.gguf) | Q2_K | 3.18GB | false | Very low quality but surprisingly usable. |
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| [Neeto-1.0-8b-IQ2_M.gguf](https://huggingface.co/bartowski/S4nfs_Neeto-1.0-8b-GGUF/blob/main/S4nfs_Neeto-1.0-8b-IQ2_M.gguf) | IQ2_M | 2.95GB | false | Relatively low quality, uses SOTA techniques to be surprisingly usable. |
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## Embed/output weights
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Some of these quants (Q3_K_XL, Q4_K_L etc) are the standard quantization method with the embeddings and output weights quantized to Q8_0 instead of what they would normally default to.
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## Downloading using huggingface-cli
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<details>
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<summary>Click to view download instructions</summary>
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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 bartowski/S4nfs_Neeto-1.0-8b-GGUF --include "S4nfs_Neeto-1.0-8b-Q4_K_M.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 bartowski/S4nfs_Neeto-1.0-8b-GGUF --include "S4nfs_Neeto-1.0-8b-Q8_0/*" --local-dir ./
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```
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You can either specify a new local-dir (S4nfs_Neeto-1.0-8b-Q8_0) or download them all in place (./)
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</details>
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## ARM/AVX information
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Previously, you would download Q4_0_4_4/4_8/8_8, and these would have their weights interleaved in memory in order to improve performance on ARM and AVX machines by loading up more data in one pass.
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Now, however, there is something called "online repacking" for weights. details in [this PR](https://github.com/ggml-org/llama.cpp/pull/9921). If you use Q4_0 and your hardware would benefit from repacking weights, it will do it automatically on the fly.
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As of llama.cpp build [b4282](https://github.com/ggml-org/llama.cpp/releases/tag/b4282) you will not be able to run the Q4_0_X_X files and will instead need to use Q4_0.
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Additionally, if you want to get slightly better quality for , you can use IQ4_NL thanks to [this PR](https://github.com/ggml-org/llama.cpp/pull/10541) which will also repack the weights for ARM, though only the 4_4 for now. The loading time may be slower but it will result in an overall speed incrase.
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<details>
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<summary>Click to view Q4_0_X_X information (deprecated</summary>
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I'm keeping this section to show the potential theoretical uplift in performance from using the Q4_0 with online repacking.
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<details>
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<summary>Click to view benchmarks on an AVX2 system (EPYC7702)</summary>
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| model | size | params | backend | threads | test | t/s | % (vs Q4_0) |
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| ------------------------------ | ---------: | ---------: | ---------- | ------: | ------------: | -------------------: |-------------: |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp512 | 204.03 ± 1.03 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp1024 | 282.92 ± 0.19 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | pp2048 | 259.49 ± 0.44 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg128 | 39.12 ± 0.27 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg256 | 39.31 ± 0.69 | 100% |
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| qwen2 3B Q4_0 | 1.70 GiB | 3.09 B | CPU | 64 | tg512 | 40.52 ± 0.03 | 100% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp512 | 301.02 ± 1.74 | 147% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp1024 | 287.23 ± 0.20 | 101% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | pp2048 | 262.77 ± 1.81 | 101% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg128 | 18.80 ± 0.99 | 48% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg256 | 24.46 ± 3.04 | 83% |
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| qwen2 3B Q4_K_M | 1.79 GiB | 3.09 B | CPU | 64 | tg512 | 36.32 ± 3.59 | 90% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp512 | 271.71 ± 3.53 | 133% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp1024 | 279.86 ± 45.63 | 100% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | pp2048 | 320.77 ± 5.00 | 124% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg128 | 43.51 ± 0.05 | 111% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg256 | 43.35 ± 0.09 | 110% |
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| qwen2 3B Q4_0_8_8 | 1.69 GiB | 3.09 B | CPU | 64 | tg512 | 42.60 ± 0.31 | 105% |
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Q4_0_8_8 offers a nice bump to prompt processing and a small bump to text generation
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</details>
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</details>
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## Which file should I choose?
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<details>
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<summary>Click here for details</summary>
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A great write up with charts showing various performances is provided by Artefact2 [here](https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9)
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The first thing to figure out is how big a model you can run. To do this, you'll need to figure out how much RAM and/or VRAM you have.
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If you want your model running as FAST as possible, you'll want to fit the whole thing on your GPU's VRAM. Aim for a quant with a file size 1-2GB smaller than your GPU's total VRAM.
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If you want the absolute maximum quality, add both your system RAM and your GPU's VRAM together, then similarly grab a quant with a file size 1-2GB Smaller than that total.
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Next, you'll need to decide if you want to use an 'I-quant' or a 'K-quant'.
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If you don't want to think too much, grab one of the K-quants. These are in format 'QX_K_X', like Q5_K_M.
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If you want to get more into the weeds, you can check out this extremely useful feature chart:
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[llama.cpp feature matrix](https://github.com/ggml-org/llama.cpp/wiki/Feature-matrix)
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But basically, if you're aiming for below Q4, and you're running cuBLAS (Nvidia) or rocBLAS (AMD), you should look towards the I-quants. These are in format IQX_X, like IQ3_M. These are newer and offer better performance for their size.
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These I-quants can also be used on CPU, but will be slower than their K-quant equivalent, so speed vs performance is a tradeoff you'll have to decide.
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</details>
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## Credits
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Thank you kalomaze and Dampf for assistance in creating the imatrix calibration dataset.
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Thank you ZeroWw for the inspiration to experiment with embed/output.
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Thank you to LM Studio for sponsoring my work.
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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3
S4nfs_Neeto-1.0-8b-IQ2_M.gguf
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3
S4nfs_Neeto-1.0-8b-IQ2_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:a864b41923e559064e0070c65f5c1c0b0be8ef17f7aa2930361c4146642bd280
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size 2948286816
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3
S4nfs_Neeto-1.0-8b-IQ3_M.gguf
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3
S4nfs_Neeto-1.0-8b-IQ3_M.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:7375831f1f42ee98a8959474bc96d1c8417d71a3e9c547fba1313b8d8d494d70
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size 3784829824
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3
S4nfs_Neeto-1.0-8b-IQ3_XS.gguf
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3
S4nfs_Neeto-1.0-8b-IQ3_XS.gguf
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|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:506002ea46dfe18e30e64ae42111eac186e9a7ab00653f3667e4d1bc2f254fde
|
||||
size 3518753664
|
||||
3
S4nfs_Neeto-1.0-8b-IQ3_XXS.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-IQ3_XXS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:33e3bb8372c26e683cd97cfbad610f7f907db334fd6fc87d24cb23230687ddc4
|
||||
size 3274918240
|
||||
3
S4nfs_Neeto-1.0-8b-IQ4_NL.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-IQ4_NL.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4133d980cf3c205c2344408c9b7e628ca6ec72de8d31e20f596c260729ec3659
|
||||
size 4677995936
|
||||
3
S4nfs_Neeto-1.0-8b-IQ4_XS.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-IQ4_XS.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:bece4d681493a6a5e08c8606e4afcad2e5062293d0431b721838e7e2309b91de
|
||||
size 4447669536
|
||||
3
S4nfs_Neeto-1.0-8b-Q2_K.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q2_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:44c502fe39d123b7f684b6059ac77aa313174e74998a89c437988dd3bfe64ce5
|
||||
size 3179137504
|
||||
3
S4nfs_Neeto-1.0-8b-Q2_K_L.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q2_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4c91fa520da34b543a568ca1cf316a7da34ba17e10ffcd8d6bda45afdb72a432
|
||||
size 3692165504
|
||||
3
S4nfs_Neeto-1.0-8b-Q3_K_L.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q3_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a5c34f1e3f24e08d667d5cf6025eebb42371363dac08cdf65988b7358e4517cb
|
||||
size 4321962880
|
||||
3
S4nfs_Neeto-1.0-8b-Q3_K_M.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q3_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:09d22b13f0a51ef77c40014a3b085b4768c691e9cfc0e48c0fb650e8e75e5ef7
|
||||
size 4018924416
|
||||
3
S4nfs_Neeto-1.0-8b-Q3_K_S.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q3_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:eb46f224bff49abb78519fe27d1f49fa6c809c1ed5b4257edcb817d6e7fd638d
|
||||
size 3664505728
|
||||
3
S4nfs_Neeto-1.0-8b-Q3_K_XL.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q3_K_XL.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:83696613ff945ea514f14a55288f703ceef60f1f90f09119b3aee8d5da36eb1c
|
||||
size 4781635968
|
||||
3
S4nfs_Neeto-1.0-8b-Q4_0.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q4_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0e373e1302865cbf598bef590e5a4af2249ca2be79a556166b1429faeb390416
|
||||
size 4675898784
|
||||
3
S4nfs_Neeto-1.0-8b-Q4_1.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q4_1.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:2a22969986f4ddcf0b2e4d13f8d0df63221b385c93b73ba26195d9b930b18674
|
||||
size 5130260128
|
||||
3
S4nfs_Neeto-1.0-8b-Q4_K_L.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q4_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9c8bf8628358cd919a54067303629aa789535729291781baed94a9a2aabb1998
|
||||
size 5310642560
|
||||
3
S4nfs_Neeto-1.0-8b-Q4_K_M.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q4_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:d664f711e281aabe050e6f4fc8257929a6b170b6a617393cfa0645f41d0e7ba0
|
||||
size 4920741280
|
||||
3
S4nfs_Neeto-1.0-8b-Q4_K_S.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q4_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:56159b56fce366d01ebb64ef04f599c01eb80a02385cf564ee3f5f08944dfab4
|
||||
size 4692676000
|
||||
3
S4nfs_Neeto-1.0-8b-Q5_K_L.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q5_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:9eb714247657affd43bcd1f0203ecd0abc512d03e744e702de2d74337f6c62e9
|
||||
size 6057228672
|
||||
3
S4nfs_Neeto-1.0-8b-Q5_K_M.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q5_K_M.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c2b1879c9bab53d511835814f19e34c2387492a96638cfb4d40d45de0f6404a1
|
||||
size 5732994976
|
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3
S4nfs_Neeto-1.0-8b-Q5_K_S.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q5_K_S.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:71d654a0a44031b5b5bb32a76287500a2b0e569fcc4a8a9bdfc7c3102386aac7
|
||||
size 5599301536
|
||||
3
S4nfs_Neeto-1.0-8b-Q6_K.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q6_K.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:07b0d67e48ca0cc387239804d8a2d6a318350c22a7d5e843a5f26318e17d1e40
|
||||
size 6596014528
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3
S4nfs_Neeto-1.0-8b-Q6_K_L.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q6_K_L.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:94ce7d2828140fec5c5faaa3e9a762bab3e4648f3f8358e5116c43fdd6155166
|
||||
size 6850476416
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||||
3
S4nfs_Neeto-1.0-8b-Q8_0.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-Q8_0.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:42bbf028c9060fe285d66e7b70db580fcfe99b6b2a4de965aca2c83261fcf3b6
|
||||
size 8540780928
|
||||
3
S4nfs_Neeto-1.0-8b-bf16.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-bf16.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:00f62dfba76a47c1da9f8ed0ab75a309e138dce5c96e9d537b15409a8b5017ac
|
||||
size 16068908672
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||||
3
S4nfs_Neeto-1.0-8b-imatrix.gguf
Normal file
3
S4nfs_Neeto-1.0-8b-imatrix.gguf
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:4b66ed0f974d1756cab0abec1434726fefdb6e1ccde5053440205be8734dab05
|
||||
size 5015232
|
||||
1
configuration.json
Normal file
1
configuration.json
Normal file
@@ -0,0 +1 @@
|
||||
{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
|
||||
Reference in New Issue
Block a user