# Multilingual instruction following

Granite 3.3 8b Instruct GGUF
Apache-2.0
Granite-3.3-8B-Instruct is an 8-billion-parameter language model supporting 128K context length, specifically fine-tuned to enhance reasoning and instruction-following capabilities.
Large Language Model
G
unsloth
7,102
2
Mistral Small 3.1 24B Instruct 2503 MAX NEO Imatrix GGUF
Apache-2.0
A 24B parameter instruction-tuned model by Mistralai, supporting 128k context length and multilingual processing, enhanced with Neo Imatrix technology and MAX quantization scheme
Large Language Model Supports Multiple Languages
M
DavidAU
38.29k
31
Falcon3
Apache-2.0
Falcon3-10B-Instruct is an open-source foundational model from the Falcon3 series, featuring 10 billion parameters, specializing in high-quality instruction-following tasks, supporting multilingual processing with a context length of up to 32K tokens.
Large Language Model
F
cortexso
244
1
Llama 3.2 1B Instruct Q4 K M GGUF
This is a quantized version in GGUF format converted from the Meta Llama-3.2-1B-Instruct model, suitable for local inference scenarios.
Large Language Model Supports Multiple Languages
L
hugging-quants
24.70k
16
Swallow 7b Instruct Hf
Japanese-enhanced large language model optimized based on the Llama 2 series, with improved instruction-following capabilities through supervised fine-tuning
Large Language Model Transformers Supports Multiple Languages
S
tokyotech-llm
1,938
42
Tamil Llama 7b Instruct V0.1
This is a 7-billion-parameter Tamil large language model enhanced based on LLaMA-2, supporting text generation tasks in both Tamil and English.
Large Language Model Transformers Supports Multiple Languages
T
abhinand
2,461
8
42dot LLM SFT 1.3B
A 1.3B parameter instruction-following large language model developed by 42dot, based on the supervised fine-tuned version of LLaMA 2 architecture
Large Language Model Transformers Supports Multiple Languages
4
42dot
676
37
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