metadata
extra_gated_heading: Access Llama 2 on Hugging Face
extra_gated_description: >-
This is a form to enable access to Llama 2 on Hugging Face after you have been
granted access from Meta. Please visit the [Meta
website](https://ai.meta.com/resources/models-and-libraries/llama-downloads)
and accept our license terms and acceptable use policy before submitting this
form. Requests will be processed in 1-2 days.
extra_gated_prompt: >-
**Your Hugging Face account email address MUST match the email you provide on
the Meta website, or your request will not be approved.**
extra_gated_button_content: Submit
extra_gated_fields:
I agree to share my name, email address and username with Meta and confirm that I have already been granted download access on the Meta website: checkbox
language:
- en
datasets:
- garage-bAInd/Open-Platypus
library_name: transformers
pipeline_tag: text-generation
inference: false
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
- TensorBlock
- GGUF
base_model: uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b
Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server
uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b - GGUF
This repo contains GGUF format model files for uukuguy/speechless-llama2-hermes-orca-platypus-wizardlm-13b.
The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4011.
Prompt template
Model file specification
| Filename | Quant type | File Size | Description |
|---|---|---|---|
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q2_K.gguf | Q2_K | 4.521 GB | smallest, significant quality loss - not recommended for most purposes |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q3_K_S.gguf | Q3_K_S | 5.270 GB | very small, high quality loss |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q3_K_M.gguf | Q3_K_M | 5.903 GB | very small, high quality loss |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q3_K_L.gguf | Q3_K_L | 6.454 GB | small, substantial quality loss |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q4_0.gguf | Q4_0 | 6.860 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q4_K_S.gguf | Q4_K_S | 6.913 GB | small, greater quality loss |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q4_K_M.gguf | Q4_K_M | 7.326 GB | medium, balanced quality - recommended |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q5_0.gguf | Q5_0 | 8.356 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q5_K_S.gguf | Q5_K_S | 8.356 GB | large, low quality loss - recommended |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q5_K_M.gguf | Q5_K_M | 8.596 GB | large, very low quality loss - recommended |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q6_K.gguf | Q6_K | 9.946 GB | very large, extremely low quality loss |
| speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q8_0.gguf | Q8_0 | 12.881 GB | very large, extremely low quality loss - not recommended |
Downloading instruction
Command line
Firstly, install Huggingface Client
pip install -U "huggingface_hub[cli]"
Then, downoad the individual model file the a local directory
huggingface-cli download tensorblock/speechless-llama2-hermes-orca-platypus-wizardlm-13b-GGUF --include "speechless-llama2-hermes-orca-platypus-wizardlm-13b-Q2_K.gguf" --local-dir MY_LOCAL_DIR
If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:
huggingface-cli download tensorblock/speechless-llama2-hermes-orca-platypus-wizardlm-13b-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'