Model Card on HF 🤗: https://huggingface.co/hiraltalsaniya/llama2-7b-fine-tune-company-task-classification-GGUF
Llama2 7B Fine Tune Company Task Classification GGUF 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)
Llama2 7B Fine Tune Company Task Classification GGUF Parameters and Internals
| LLM Name | Llama2 7B Fine Tune Company Task Classification GGUF |
| Repository 🤗 | https://huggingface.co/hiraltalsaniya/llama2-7b-fine-tune-company-task-classification-GGUF |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2025-09-23 |
| Maintainer | hiraltalsaniya |
| Model Type | llama |
| Model Files | |
| GGUF Quantization | Yes |
| Quantization Type | gguf |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.31.0 |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama2 7B Fine Tune Company Task Classification GGUF
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lucie 7B Instruct | 31K / 13.4 GB | 4115 | 20 |
| Lucie 7B Instruct Human Data | 31K / 13.4 GB | 333 | 6 |
| Lucie 7B Instruct Gguf | 31K / 4.1 GB | 1568 | 4 |
| Sqlcoder 7B 2 | 16K / 13.5 GB | 68960 | 383 |
| Llm Compiler 7B Ftd GGUF | 16K / 2.5 GB | 1198 | 0 |
| Llm Compiler 7B GGUF | 16K / 2.5 GB | 165 | 1 |
| Llm Compiler 7B Ftd GGUF | 16K / 2.5 GB | 19 | 0 |
| Llm Compiler 7B GGUF | 16K / 2.5 GB | 10 | 0 |
| Bachinstruct Codellama7b | 16K / 13.5 GB | 43 | 1 |
| ...pseek Coder 6.7B Instruct GGUF | 16K / 2.5 GB | 2057 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than hiraltalsaniya/llama2-7b-fine-tune-company-task-classification-GGUF .
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124