mlabonne / gemma-7b-GGUF

huggingface.co
Total runs: 315
24-hour runs: 0
7-day runs: 76
30-day runs: 231
Model's Last Updated: February 26 2024

Introduction of gemma-7b-GGUF

Model Details of gemma-7b-GGUF

Gemma-7B GGUF

This is a quantized version of the google/gemma-7b model using llama.cpp .

This model card corresponds to the 7B base version of the Gemma model. You can also visit the model card of the 7B instruct model , 2B base model , and 2B instruct model .

Model Page : Gemma

Terms of Use : Terms

⚡ Quants
  • q2_k : Uses Q4_K for the attention.vw and feed_forward.w2 tensors, Q2_K for the other tensors.
  • q3_k_l : Uses Q5_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else Q3_K
  • q3_k_m : Uses Q4_K for the attention.wv, attention.wo, and feed_forward.w2 tensors, else Q3_K
  • q3_k_s : Uses Q3_K for all tensors
  • q4_0 : Original quant method, 4-bit.
  • q4_1 : Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models.
  • q4_k_m : Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q4_K
  • q4_k_s : Uses Q4_K for all tensors
  • q5_0 : Higher accuracy, higher resource usage and slower inference.
  • q5_1 : Even higher accuracy, resource usage and slower inference.
  • q5_k_m : Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q5_K
  • q5_k_s : Uses Q5_K for all tensors
  • q6_k : Uses Q8_K for all tensors
  • q8_0 : Almost indistinguishable from float16. High resource use and slow. Not recommended for most users.
💻 Usage

This model can be used with the latest version of llama.cpp and LM Studio >0.2.16.

Runs of mlabonne gemma-7b-GGUF on huggingface.co

315
Total runs
0
24-hour runs
-3
3-day runs
76
7-day runs
231
30-day runs

More Information About gemma-7b-GGUF huggingface.co Model

More gemma-7b-GGUF license Visit here:

https://choosealicense.com/licenses/gemma-terms-of-use

gemma-7b-GGUF huggingface.co

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

gemma-7b-GGUF huggingface.co Url

https://huggingface.co/mlabonne/gemma-7b-GGUF

mlabonne gemma-7b-GGUF online free

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

mlabonne gemma-7b-GGUF online free url in huggingface.co:

https://huggingface.co/mlabonne/gemma-7b-GGUF

gemma-7b-GGUF install

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

gemma-7b-GGUF install url in huggingface.co:

https://huggingface.co/mlabonne/gemma-7b-GGUF

Url of gemma-7b-GGUF

gemma-7b-GGUF huggingface.co Url

Provider of gemma-7b-GGUF huggingface.co

mlabonne
ORGANIZATIONS

Other API from mlabonne

huggingface.co

Total runs: 161
Run Growth: -5
Growth Rate: -3.11%
Updated:March 04 2024
huggingface.co

Total runs: 156
Run Growth: -18
Growth Rate: -11.54%
Updated:March 04 2024
huggingface.co

Total runs: 73
Run Growth: 12
Growth Rate: 16.44%
Updated:March 04 2024