Model Card on HF 🤗: https://huggingface.co/jiguanglizipao/chatglm2-6b-port-llama
Chatglm2 6B Port Llama 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)
Chatglm2 6B Port Llama Parameters and Internals
| LLM Name | Chatglm2 6B Port Llama |
| Repository 🤗 | https://huggingface.co/jiguanglizipao/chatglm2-6b-port-llama |
| Model Size | 6b |
| Required VRAM | 12.5 GB |
| Updated | 2025-05-18 |
| Maintainer | jiguanglizipao |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 65024 |
| Torch Data Type | float16 |
Best Alternatives to Chatglm2 6B Port Llama
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yi 6B 200K | 195K / 12.1 GB | 5575 | 172 |
| Wukong Yi 6B 200K | 195K / 12.1 GB | 9 | 1 |
| Yi 6B 200K AEZAKMI V2 | 195K / 12.1 GB | 7 | 1 |
| Yi 6B 200K DPO | 195K / 12.1 GB | 10 | 0 |
| Yi 6B 200K Llamafied | 195K / 12.1 GB | 13 | 11 |
| Yi 6B 200K Llama | 195K / 12.1 GB | 3 | 5 |
| Barcenas 6B 200K | 195K / 12.1 GB | 4 | 2 |
| Llama 3.2 6B AlgoCode | 128K / 12.7 GB | 7 | 1 |
| Miqu 6B Truthy | 31K / 11.3 GB | 13 | 1 |
| Llama 3 6B V0.1 | 8K / 12.6 GB | 30 | 14 |
Note: green Score (e.g. "73.2") means that the model is better than jiguanglizipao/chatglm2-6b-port-llama .
Rank the Chatglm2 6B Port Llama 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? 47410 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227