4bit Base model:quantized:unsloth/m... Base model:unsloth/meta-llama-... Conversational En Endpoints compatible Gguf Instruct Llama Quantized Region:us Unsloth
Model Card on HF 🤗: https://huggingface.co/ManuSharma/model
Model 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)
Model Parameters and Internals
| LLM Name | Model |
| Repository 🤗 | https://huggingface.co/ManuSharma/model |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 4.9 GB |
| Updated | 2025-06-09 |
| Maintainer | ManuSharma |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| GGUF Quantization | Yes |
| Quantization Type | gguf|4bit |
| Model Architecture | AutoModel |
| License | apache-2.0 |
Best Alternatives to Model
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Meta Llama 3 8B Instruct GGUF | 0K / 2 GB | 227129 | 89 |
| ...ma 3 8B Instruct 32K V0.1 GGUF | 0K / 2 GB | 215339 | 57 |
| Llama 3 8B Instruct 64K GGUF | 0K / 3.2 GB | 213840 | 13 |
| ...B Instruct Bnb 4bit 24 1 100 1 | 0K / 16.1 GB | 34 | 0 |
| ...leverBoi Llama 3.1 8B Instruct | 0K / 0.2 GB | 91 | 1 |
| ... Old English Tutorial FineTune | 0K / 4.9 GB | 9 | 0 |
| Granite 8B Code Instruct GGUF | 0K / 3.1 GB | 7035 | 6 |
| ... 4bit Tiny Thought Model Large | 0K / 4.9 GB | 11 | 0 |
| Meta Llama 3 8B Instruct GGUF | 0K / 3.2 GB | 409 | 32 |
| GOAT Coder Llama3.1 8B | 0K / 16.1 GB | 64 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than ManuSharma/model .
Rank the Model Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124