# English-specific

Xlangai Jedi 3B 1080p GGUF
Apache-2.0
Jedi-3B-1080p is a 3B-parameter model developed by xlangai, quantized using llama.cpp, suitable for image-text generation tasks.
Large Language Model English
X
bartowski
148
1
Smolvlm2 2.2B Instruct I1 GGUF
Apache-2.0
SmolVLM2-2.2B-Instruct is a vision-language model with a parameter scale of 2.2B, focusing on video text-to-text tasks and supporting English.
English
S
mradermacher
285
0
Nvidia Llama 3 1 Nemotron Ultra 253B V1 GGUF
Other
This is the quantized version of the NVIDIA Llama-3_1-Nemotron-Ultra-253B-v1 model, quantized using llama.cpp, supporting multiple quantization types and suitable for various hardware environments.
Large Language Model English
N
bartowski
1,607
3
Ichigo Llama3.1 S Instruct V0.4 I1 GGUF
Apache-2.0
This is the GGUF quantized version of the Menlo/Ichigo-llama3.1-s-instruct-v0.4 model, designed for speech and language processing tasks in resource-constrained environments.
Large Language Model English
I
mradermacher
429
3
Gemma 2 2b It
Gemma is a lightweight open model series launched by Google, built on the technology used to create Gemini models, suitable for various text generation tasks.
Large Language Model Transformers
G
google
342.64k
1,064
Gemma 2 27b It
Gemma is a lightweight open-source large language model series launched by Google, built on the same technology used to create Gemini models, suitable for various text generation tasks.
Large Language Model Transformers
G
google
160.10k
543
Gliner Large V2
Apache-2.0
GLiNER is a bidirectional Transformer-based named entity recognition model capable of identifying any entity type, offering greater flexibility than traditional NER models and higher efficiency than large language models.
Sequence Labeling
G
urchade
15.73k
52
Gemma 7b It
Gemma is a lightweight open model series launched by Google, built on the same technology as Gemini, suitable for text generation tasks.
Large Language Model
G
google
77.07k
1,163
M2 BERT 128 Retrieval Encoder V1
Apache-2.0
M2-BERT-128 is an 80-million-parameter retrieval model checkpoint proposed in the paper 'Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT'
Text Embedding Transformers English
M
hazyresearch
19
3
Gemma 7b
Gemma is a lightweight open-source large language model introduced by Google, built on the same technology as Gemini, suitable for various text generation tasks.
Large Language Model
G
google
55.61k
3,160
Velara 11B V2 GGUF
Velara 11B v2 is a large language model based on the Mistral architecture, focusing on text generation tasks and utilizing the Alpaca-InstructOnly2 prompt template.
Large Language Model English
V
TheBloke
1,047
9
Tinyllama V0 GGUF
MIT
TinyLLama-v0 is a lightweight language model provided in GGUF format, suitable for text generation tasks.
Large Language Model English
T
aladar
72
2
Lamini Flan T5 248M
LaMini-Flan-T5-248M is a 248M parameter model fine-tuned on the LaMini-instruction dataset based on google/flan-t5-base, belonging to the LaMini-LM series, specifically designed for responding to natural language instructions.
Large Language Model Transformers English
L
MBZUAI
5,652
76
CLIP ViT L 14 Laion2b S32b B82k
MIT
A vision-language model trained on the English subset of LAION-2B using the OpenCLIP framework, supporting zero-shot image classification and image-text retrieval
Text-to-Image TensorBoard
C
laion
79.01k
48
Wav2vec2 Base Ft Cv3 V3
Apache-2.0
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base on the Common Voice 3.0 English dataset, achieving a word error rate of 0.247 on the test set.
Speech Recognition Transformers
W
danieleV9H
120
0
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