Fine-tune your own Llama 2 to replace GPT-3.5/4
Fine-tuning open-source Llama 2 models can replace GPT-3.5 and GPT-4 for specific tasks, with a fine-tuned Llama 7B matching GPT-4 labels 95% of the time on a test set.
Up to date
meta-llama Llama 2 Community License out 3 years ago
6.74B parameters, text in, text out.
Verified 2026-10-25 Rank #107 in LLMs · score 98.5 method v1 Sources 3 Downloads 30d 119.1k · #298 of 619 tracked
Picked by rule from 37 tracked pieces: the lab's own post, the most shared, a field report, the latest.
Fine-tuning open-source Llama 2 models can replace GPT-3.5 and GPT-4 for specific tasks, with a fine-tuned Llama 7B matching GPT-4 labels 95% of the time on a test set.
Ollama enables local execution of uncensored Llama 2 variants, such as the 7B model fine-tuned using Wizard-Vicuna conversation dataset and Nous Hermes Llama 2 13B fine-tuned on over 300,000 instructions.
The 2 picks above, plus these 23. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves: 103 quantized builds and 100 Spaces.
Top Spaces running it: IndexTeam/IndexTTS-2-Demo ♥ 849 · pliny-the-prompter/obliteratus ♥ 621 · fffiloni/Image-to-Story ♥ 611 · Plachta/Seed-VC ♥ 550
Weights only, an estimate: leave room for the KV cache. Method
About 4.0 GB at INT4, 8.1 GB at FP8, 16 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2023-07-13), amber triangles are 10 dated articles (each links to it).
2,061 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
Listed in LLMs
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | LlamaForCausalLM |
| Model type | llama |
| Params by dtype | F16: 6,738,417,664 |
| Size band | M |
| MoE | no |
| Gated | manual |
| Papers | arXiv:2307.09288 |
| License | Llama 2 Community License (llama2) |
| Hub snapshot | 2026-10-25 |
vLLM: supported · LlamaForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · LlamaForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
Weights-only memory for Llama-2-7b-chat-hf: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 16 GB · Single GPU (<24 GB) |
|---|---|
| FP8 (1 byte/param) | 8.1 GB · Single GPU (<24 GB) |
| INT4 (0.5 bytes/param) | 4.0 GB · Single GPU (<24 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
quantized: 103finetune: 744adapter: 1,209merge: 5
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| TheBloke/Llama-2-7B-Chat-GGUF | quantized | GGUF | — | — | llama2 | TheBloke | 517 | 3.4M |
| TheBloke/Llama-2-7B-Chat-GPTQ | quantized | GPTQ | 6.74B | M | llama2 | TheBloke | 267 | 3.1M |
| TheBloke/Llama-2-7B-Chat-AWQ | quantized | AWQ | 6.74B | M | llama2 | TheBloke | 24 | 431.3k |
| TheBloke/Llama-2-7B-Chat-GGML | finetune | — | — | — | other | TheBloke | 878 | 149.6k |
| mlc-ai/Llama-2-7b-chat-hf-q4f32_1-MLC | quantized | — | — | — | — | mlc-ai | 2 | 109.8k |
| FinGPT/fingpt-forecaster_dow30_llama2-7b_lora | adapter | — | — | — | apache-2.0 | FinGPT | 157 | 77.9k |
| mlc-ai/Llama-2-7b-chat-hf-q4f16_1-MLC | quantized | — | — | — | — | mlc-ai | 9 | 34.6k |
| second-state/Llama-2-7B-Chat-GGUF | quantized | GGUF | — | — | llama2 | second-state | 2 | 25.6k |
| ContinuousAT/Llama-2-7B-CAT | adapter | — | — | — | — | ContinuousAT | 0 | 24.6k |
| MaziyarPanahi/Llama-2-7b-chat-hf-GGUF | quantized | GGUF | — | — | apache-2.0 | MaziyarPanahi | 0 | 10.1k |
| Atulit23/meta-llama-indian-constitution-chat | finetune | — | — | — | — | Atulit23 | 0 | 7.9k |
| dilip025/llama-2-7b | finetune | — | — | — | llama2 | dilip025 | 0 | 7k |
| matrixportalx/Llama-2-7b-chat-hf-Q4_K_M-GGUF | quantized | GGUF | — | — | llama2 | matrixportalx | 7 | 5.9k |
| 247labs/Llama-2-7b-Verse-Bot | quantized | GGUF | — | — | llama2 | 247labs | 0 | 5.9k |
| oliverwang15/FinGPT_v32_Llama2_Sentiment_Instruction_LoRA_FT | adapter | — | — | — | — | oliverwang15 | 17 | 4.2k |
| 5w4n/base-burmese-llm | quantized | GGUF | 6.87B | M | llama2 | 5w4n | 5 | 4.8k |
| QIAIUNCC/EYE-Llama_gqa | finetune | — | 6.74B | M | mit | QIAIUNCC | 2 | 4.6k |
| ifaouibadi/Llama-2-7b-Verse-Chat | quantized | GGUF | — | — | llama2 | ifaouibadi | 0 | 4k |
| SergeUSS/Llama-2-7B-Chat-GGUF | quantized | GGUF | — | — | llama2 | SergeUSS | 0 | 3.8k |
| nitinbhayana/Llama-2-7b-chat-hf-adapter-review-phrases-sentiments-v2.1 | adapter | — | — | — | — | nitinbhayana | 0 | 2.9k |
| aengusl/llama2-7b-sft-lora | adapter | — | — | — | llama2 | aengusl | 0 | 2.8k |
| vincentmin/llama-2-7b-reward-oasst1 | adapter | — | — | — | — | vincentmin | 1 | 2.7k |
| bineric/NorskGPT-Llama-7B-v0.1 | finetune | — | 6.74B | M | cc-by-nc-sa-4.0 | bineric | 3 | 2.5k |
| BackdoorLLM/Jailbreak_Llama2-7B_BadNets | adapter | — | — | — | mit | BackdoorLLM | 0 | 2.5k |
| halflucifer/et2-experimental | quantized | GGUF | — | — | llama2 | halflucifer | 0 | 2.4k |
| AIRLab-POLIMI/llama-2-7b-chat-hf-btgenbot-adapter | adapter | — | — | — | — | AIRLab-POLIMI | 1 | 2.1k |
| shivanikerai/Llama-2-7b-chat-hf-adapter-cat-subcat-mapping-v2.0 | adapter | — | — | — | — | shivanikerai | 0 | 2k |
| e-valente/Llama-2-7B-Chat-GGUF | quantized | GGUF | — | — | llama2 | e-valente | 1 | 1.8k |
| zhentaoyu/Llama-2-7b-chat-hf-Q4_0-GGUF | quantized | Q4_0 | — | — | llama2 | zhentaoyu | 0 | 1.8k |
| tensorblock/Llama-2-7b-chat-hf-GGUF | quantized | GGUF | — | — | llama2 | tensorblock | 0 | 1.8k |
| shivanikerai/Llama-2-7b-chat-hf-adapter-brand-mapping-v2.0 | adapter | — | — | — | — | shivanikerai | 0 | 1.5k |
| FriendliAI/Llama-2-7b-chat-hf-fp8 | finetune | -fp8 | 6.74B | M | llama2 | FriendliAI | 10 | 883 |
| zhentaoyu/Llama-2-7b-chat-hf-Q4_K_S-GGUF | quantized | GGUF | — | — | llama2 | zhentaoyu | 0 | 1.3k |
| QIAIUNCC/EYE-Llama_qa | finetune | — | 6.74B | M | mit | QIAIUNCC | 0 | 1.2k |
| nitinbhayana/Llama-2-7b-chat-hf-adapter-beauty_baby_hpc_grocery_computer_kitchen | adapter | — | — | — | — | nitinbhayana | 0 | 1.1k |
| therealcyberlord/llama2-qlora-finetuned-medical | adapter | — | — | — | — | therealcyberlord | 5 | 685 |
| Winindux/emowoz-llama2-sft | adapter | — | — | — | — | Winindux | 0 | 921 |
| al1231/Refiner-7B | adapter | — | — | — | mit | al1231 | 0 | 883 |
| amd/Llama-2-7b-chat-hf-awq-g128-int4-asym-fp16-onnx-hybrid | quantized | awq | — | — | llama2 | amd | 0 | 869 |
| amd/Llama2-7b-chat-awq-g128-int4-asym-bf16-onnx-ryzen-strix | quantized | awq | — | — | llama2 | amd | 0 | 829 |
Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:34 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:45 UTC · Summary: 2026-10-07 15:01 UTC · Last verified 2026-10-25
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