Llama 3.2 Amharic 32K 1024 V4 Instruct Bs8 256 is an open-source language model by yosefw. Features: 401.1m LLM, VRAM: 1.6GB, Context: 1K, Instruction-Based, LLM Explorer Score: 0.16.
Autotrain compatible Base model:finetune:yosefw/lla... Base model:yosefw/llama-3.2-am... Conversational Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors Sft Tensorboard Trl
Model Card on HF 🤗: https://huggingface.co/yosefw/llama-3.2-amharic-32k-1024-v4-instruct-bs8-256
Llama 3.2 Amharic 32K 1024 V4 Instruct Bs8 256 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Llama 3.2 Amharic 32K 1024 V4 Instruct Bs8 256 Parameters and Internals
| LLM Name | Llama 3.2 Amharic 32K 1024 V4 Instruct Bs8 256 |
| Repository 🤗 | https://huggingface.co/yosefw/llama-3.2-amharic-32k-1024-v4-instruct-bs8-256 |
| Model Name | llama-3.2-amharic-32k-1024-v4-instruct-bs8-256 |
| Base Model(s) | |
| Model Size | 401.1m |
| Required VRAM | 1.6 GB |
| Updated | 2025-09-15 |
| Maintainer | yosefw |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 1024 |
| Model Max Length | 1024 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|im_end|> |
| Vocabulary Size | 32002 |
| Torch Data Type | float32 |
Rank the Llama 3.2 Amharic 32K 1024 V4 Instruct Bs8 256 Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 53999 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a