Vikhrmodels Vikhr 7B Instruct 0.4 4bits is an open-source language model by RichardErkhov. Features: 7b LLM, VRAM: 5.2GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.14.
4-bit Autotrain compatible Bitsandbytes Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits
Vikhrmodels Vikhr 7B Instruct 0.4 4bits 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)
Vikhrmodels Vikhr 7B Instruct 0.4 4bits Parameters and Internals
| Model Type |
| |
| Additional Notes |
|
| LLM Name | Vikhrmodels Vikhr 7B Instruct 0.4 4bits |
| Repository 🤗 | https://huggingface.co/RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits |
| Model Size | 7b |
| Required VRAM | 5.2 GB |
| Updated | 2025-09-23 |
| Maintainer | RichardErkhov |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 79099 |
| Torch Data Type | float16 |
Best Alternatives to Vikhrmodels Vikhr 7B Instruct 0.4 4bits
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 | 1055 | 5 |
| SuperNeuralDreadDevil 8B | 128K / 16.1 GB | 18 | 1 |
| Falcon3 7B Instruct | 32K / 14.8 GB | 24008 | 73 |
| Falcon3 Jessi V0.4 7B Slerp | 32K / 14.9 GB | 8 | 9 |
| Jessi V0.4 Falcon3 7B Instruct | 32K / 14.8 GB | 6 | 0 |
| Jessi V0.6 Falcon3 7B Instruct | 32K / 14.8 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than RichardErkhov/Vikhrmodels_-_Vikhr-7B-instruct_0.4-4bits .
Rank the Vikhrmodels Vikhr 7B Instruct 0.4 4bits Capabilities
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Release v20241124