Autotrain compatible Conversational Dataset:gingdev/ictu-lecturers Dataset:gingdev/vihealthqa-sma... Endpoints compatible Gguf Llama Llamafile Q4 Quantized Region:us Safetensors Sharded Tensorflow Vi
Model Card on HF 🤗: https://huggingface.co/gingdev/llama7b-ictu-v2
Llama7b Ictu 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)
Llama7b Ictu V2 Parameters and Internals
| LLM Name | Llama7b Ictu V2 |
| Repository 🤗 | https://huggingface.co/gingdev/llama7b-ictu-v2 |
| Model Size | 7b |
| Required VRAM | 13.8 GB |
| Updated | 2024-12-26 |
| Maintainer | gingdev |
| Model Type | llama |
| Model Files | |
| Supported Languages | vi |
| GGUF Quantization | Yes |
| Quantization Type | q4|gguf|q4_k |
| Model Architecture | LlamaForCausalLM |
| License | mit |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 46305 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama7b Ictu V2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Sqlcoder 7B 2 | 16K / 13.5 GB | 47838 | 301 |
| Llm Compiler 7B GGUF | 16K / 2.5 GB | 55 | 1 |
| Llm Compiler 7B Ftd GGUF | 16K / 2.5 GB | 38 | 0 |
| Llm Compiler 7B Ftd GGUF | 16K / 2.5 GB | 33 | 0 |
| Llm Compiler 7B GGUF | 16K / 2.5 GB | 22 | 0 |
| Bachinstruct Codellama7b | 16K / 13.5 GB | 100 | 1 |
| Musicllm | 16K / 13.5 GB | 26 | 0 |
| Solidity | 16K / 2.8 GB | 59 | 0 |
| Sql Code Gguf | 16K / 4.8 GB | 10 | 0 |
| EvolCodeLlama 7B GGUF | 16K / 4.8 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than gingdev/llama7b-ictu-v2 .
Rank the Llama7b Ictu V2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217