Autotrain compatible Endpoints compatible Instruct Llama Ms Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mesolitica/malaysian-llama2-7b-32k-instructions-v2
Malaysian Llama2 7B 32K Instructions V2 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)
Malaysian Llama2 7B 32K Instructions V2 Parameters and Internals
| Model Type |
| |||||||||
| Additional Notes |
| |||||||||
| Training Details |
| |||||||||
| Input Output |
|
| LLM Name | Malaysian Llama2 7B 32K Instructions V2 |
| Repository 🤗 | https://huggingface.co/mesolitica/malaysian-llama2-7b-32k-instructions-v2 |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2025-07-08 |
| Maintainer | mesolitica |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ms |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Malaysian Llama2 7B 32K Instructions V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| A3.4 | 1024K / 16.1 GB | 13 | 0 |
| A5.4 | 1024K / 16.1 GB | 12 | 0 |
| A2.4 | 1024K / 16.1 GB | 12 | 0 |
| 124 | 1024K / 16.1 GB | 93 | 0 |
| ... Qwen2.5llamaify 7B V23.1 200K | 195K / 15.2 GB | 3067 | 4 |
| SuperNeuralDreadDevil 8B | 128K / 16.1 GB | 72 | 1 |
| Falcon3 7B Instruct | 32K / 14.8 GB | 35853 | 71 |
| Falcon3 Jessi V0.4 7B Slerp | 32K / 14.9 GB | 11 | 9 |
| Jessi V0.4 Falcon3 7B Instruct | 32K / 14.8 GB | 9 | 0 |
| Jessi V0.6 Falcon3 7B Instruct | 32K / 14.8 GB | 8 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mesolitica/malaysian-llama2-7b-32k-instructions-v2 .
Rank the Malaysian Llama2 7B 32K Instructions V2 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? 49482 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124