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LLaMA-7B-ggml

localmodels / LLaMA-7B-ggml

Run on huggingface.co
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Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: July 17 2023

Introduction of LLaMA-7B-ggml

Model Details of LLaMA-7B-ggml

LLaMA 7B ggml

From Meta: https://ai.meta.com/blog/large-language-model-llama-meta-ai

Original llama.cpp quant methods: q4_0, q4_1, q5_0, q5_1, q8_0

Quantized using an older version of llama.cpp and compatible with llama.cpp from May 19, commit 2d5db48.

k-quant methods: q2_K, q3_K_S, q3_K_M, q3_K_L, q4_K_S, q4_K_M, q5_K_S, q6_K

Quantization methods compatible with latest llama.cpp from June 6, commit 2d43387.

Provided files
Name Quant method Bits Size Max RAM required Use case
llama-7b.ggmlv3.q2_K.bin q2_K 2 2.80 GB 5.30 GB New k-quant method. Uses GGML_TYPE_Q4_K for the attention.vw and feed_forward.w2 tensors, GGML_TYPE_Q2_K for the other tensors.
llama-7b.ggmlv3.q3_K_L.bin q3_K_L 3 3.55 GB 6.05 GB New k-quant method. Uses GGML_TYPE_Q5_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else GGML_TYPE_Q3_K
llama-7b.ggmlv3.q3_K_M.bin q3_K_M 3 3.23 GB 5.73 GB New k-quant method. Uses GGML_TYPE_Q4_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else GGML_TYPE_Q3_K
llama-7b.ggmlv3.q3_K_S.bin q3_K_S 3 2.90 GB 5.40 GB New k-quant method. Uses GGML_TYPE_Q3_K for all tensors
llama-7b.ggmlv3.q4_0.bin q4_0 4 3.79 GB 6.29 GB Original quant method, 4-bit.
llama-7b.ggmlv3.q4_1.bin q4_1 4 4.21 GB 6.71 GB Original quant method, 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models.
llama-7b.ggmlv3.q4_K_M.bin q4_K_M 4 4.05 GB 6.55 GB New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q4_K
llama-7b.ggmlv3.q4_K_S.bin q4_K_S 4 3.79 GB 6.29 GB New k-quant method. Uses GGML_TYPE_Q4_K for all tensors
llama-7b.ggmlv3.q5_0.bin q5_0 5 4.63 GB 7.13 GB Original quant method, 5-bit. Higher accuracy, higher resource usage and slower inference.
llama-7b.ggmlv3.q5_1.bin q5_1 5 5.06 GB 7.56 GB Original quant method, 5-bit. Even higher accuracy, resource usage and slower inference.
llama-7b.ggmlv3.q5_K_M.bin q5_K_M 5 4.77 GB 7.27 GB New k-quant method. Uses GGML_TYPE_Q6_K for half of the attention.wv and feed_forward.w2 tensors, else GGML_TYPE_Q5_K
llama-7b.ggmlv3.q5_K_S.bin q5_K_S 5 4.63 GB 7.13 GB New k-quant method. Uses GGML_TYPE_Q5_K for all tensors
llama-7b.ggmlv3.q6_K.bin q6_K 6 5.53 GB 8.03 GB New k-quant method. Uses GGML_TYPE_Q8_K for all tensors - 6-bit quantization
llama-7b.ggmlv3.q8_0.bin q8_0 8 7.16 GB 9.66 GB Original quant method, 8-bit. Almost indistinguishable from float16. High resource use and slow. Not recommended for most users.

Runs of localmodels LLaMA-7B-ggml on huggingface.co

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More Information About LLaMA-7B-ggml huggingface.co Model

LLaMA-7B-ggml huggingface.co

LLaMA-7B-ggml huggingface.co is an AI model on huggingface.co that provides LLaMA-7B-ggml's model effect (), which can be used instantly with this localmodels LLaMA-7B-ggml model. huggingface.co supports a free trial of the LLaMA-7B-ggml model, and also provides paid use of the LLaMA-7B-ggml. Support call LLaMA-7B-ggml model through api, including Node.js, Python, http.

LLaMA-7B-ggml huggingface.co Url

https://huggingface.co/localmodels/LLaMA-7B-ggml

localmodels LLaMA-7B-ggml online free

LLaMA-7B-ggml huggingface.co is an online trial and call api platform, which integrates LLaMA-7B-ggml's modeling effects, including api services, and provides a free online trial of LLaMA-7B-ggml, you can try LLaMA-7B-ggml online for free by clicking the link below.

localmodels LLaMA-7B-ggml online free url in huggingface.co:

https://huggingface.co/localmodels/LLaMA-7B-ggml

LLaMA-7B-ggml install

LLaMA-7B-ggml is an open source model from GitHub that offers a free installation service, and any user can find LLaMA-7B-ggml on GitHub to install. At the same time, huggingface.co provides the effect of LLaMA-7B-ggml install, users can directly use LLaMA-7B-ggml installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

LLaMA-7B-ggml install url in huggingface.co:

https://huggingface.co/localmodels/LLaMA-7B-ggml

Url of LLaMA-7B-ggml

Provider of LLaMA-7B-ggml huggingface.co

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