The story so far
Weights, every dated article, and repo commits on one rail.
Most coverage came in the first two weeks
Teal is the weights (2023-07-18), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.
Up to date
NousResearch Not declared out 3 years ago
6.74B parameters, text in, text out, 4K tokens of context. 1 provider serves it.
Verified 2026-10-25 Rank #643 in LLMs · score 73.2 method v1 Sources 3 Downloads 30d 11.7k · #501 of 619 tracked
Picked by rule from 28 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.
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.
Live hosted endpoints, cheapest first, USD per million tokens. Ties break on output price, then provider name.
| # | Cheapest live row | In /1M | Out /1M | Context | Quant | Seen |
|---|---|---|---|---|---|---|
| 1 | Featherless | — | — | — | — | Oct 25 |
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.
Served by 1 API provider; 21 quantized builds for local use; a big base for builders (620 fine-tunes, adapters and merges).
Top Spaces running it: Vision-CAIR-Admin/MiniGPT-v2 ♥ 113 · sambanovasystems/enterprise_knowledge_retriever ♥ 4 · teganmosi/medicalchatbot ♥ 1 · prensofslavs/freudian-dream-interpreter ♥ 1
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 (2023-07-18), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.
641 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.
| Benchmark | Value | Setting / notes | Reported by | Date |
|---|---|---|---|---|
| author-reported AGI Eval | 29.3 | Llama 2 7B | model author | 2026-10-07 |
| author-reported BBH · Reason through hard problems | 32.6 | Llama 2 7B | model author | 2026-10-07 |
| author-reported Code | 16.8 | Llama 2 7B | model author | 2026-10-07 |
| author-reported Commonsense Reasoning | 63.9 | Llama 2 7B | model author | 2026-10-07 |
| author-reported MATH-500 · Reason through hard problems | 14.6 | Llama 2 7B | model author | 2026-10-07 |
| author-reported MMLU · Reason through hard problems | 45.3 | Llama 2 7B | model author | 2026-10-07 |
| author-reported Reading Comprehension | 61.3 | Llama 2 7B | model author | 2026-10-07 |
| author-reported Toxigen | 21.25 | Llama 2 7B | model author | 2026-10-07 |
| author-reported Toxigen | 0 | Llama-2-Chat 7B | model author | 2026-10-07 |
| author-reported TruthfulQA · Chat and follow instructions | 33.29 | Llama 2 7B | model author | 2026-10-07 |
| author-reported TruthfulQA · Chat and follow instructions | 57.04 | Llama-2-Chat 7B | model author | 2026-10-07 |
| author-reported World Knowledge | 48.9 | Llama 2 7B | model author | 2026-10-07 |
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 |
| Dtype | float16 |
| Params by dtype | F16: 6,738,417,664 |
| Size band | M |
| MoE | no |
| Context length | 4,096 (config.json max_position_embeddings) |
| Languages | en |
| License | Not declared |
| 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.
merge: 11quantized: 21finetune: 142adapter: 467
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| InnerI/I-Code-NousLlama7B-slerp | merge | — | 6.74B | M | llama2 | InnerI | 0 | 9.9k |
| xaviviro/llama-2-7b-chat-catala-GGUF | quantized | GGUF | — | — | — | xaviviro | 1 | 9.3k |
| mradermacher/Llama-2-7b-chat-hf-i1-GGUF | quantized | GGUF | — | — | — | mradermacher | 0 | 7k |
| OPTML-Group/TOFU-origin-Llama-2-7b-chat | finetune | — | 6.74B | M | mit | OPTML-Group | 0 | 6.9k |
| fradinho/llama-mistral | merge | — | 7.24B | M | mit | fradinho | 0 | 6.1k |
| Thimira/sinhala-llama-2-7b-chat-hf | adapter | — | — | — | llama2 | Thimira | 3 | 4.9k |
| mradermacher/Llama-2-7b-chat-hf-GGUF | quantized | GGUF | — | — | — | mradermacher | 0 | 3.1k |
| UnderstandLing/llama-2-7b-chat-es | adapter | — | — | — | — | UnderstandLing | 5 | 2.1k |
| HeshamHaroon/llama-2-7b-chat-ar | adapter | — | — | — | apache-2.0 | HeshamHaroon | 4 | 1.3k |
| RedHatAI/Llama2-7b-chat-pruned50-quant-ds | quantized | -quant | — | — | — | RedHatAI | 9 | 831 |
| arcee-ai/Patent-Llama-7B-Chat-Slerp | merge | — | 6.74B | M | — | arcee-ai | 1 | 743 |
| UnderstandLing/llama-2-7b-chat-fr | adapter | — | — | — | — | UnderstandLing | 0 | 784 |
| Sentdex/Walls1337bot-Llama2-7B-003.005.5000 | adapter | — | — | — | apache-2.0 | Sentdex | 2 | 598 |
| NireekshanAI/FineTuned_NIRI_LLM | quantized | GGUF | — | — | apache-2.0 | NireekshanAI | 1 | 519 |
| A2H0H0R1/Llama-2-7b-chat-hf-biology | finetune | — | — | — | apache-2.0 | A2H0H0R1 | 1 | 454 |
| yashhanamghar9099/Yash-Llama2-7B-QLoRA-v1 | adapter | — | 6.74B | M | — | yashhanamghar9099 | 0 | 472 |
| sakshamjkjk/chatbot-fine-tune | quantized | — | 6.84B | M | apache-2.0 | sakshamjkjk | 0 | 387 |
| chrystians/llama-2-7b-chat-pl-polish-polski | adapter | — | — | — | — | chrystians | 3 | 229 |
| devshaheen/Llama-2-7b-chat-finetune | finetune | — | 6.74B | M | mit | devshaheen | 0 | 331 |
| bablu75/results | finetune | — | — | — | — | bablu75 | 1 | 278 |
| UnderstandLing/llama-2-7b-chat-pt | adapter | — | — | — | — | UnderstandLing | 2 | 220 |
| ethicsadvisorproject/Llama-2-7b-ethical-chat-finetune | finetune | — | — | — | mit | ethicsadvisorproject | 0 | 318 |
| SURESHBEEKHANI/Llama-2-7b-chat-finetune | finetune | — | — | — | mit | SURESHBEEKHANI | 1 | 264 |
| A2H0H0R1/llama2-7B-gpt4 | adapter | — | — | — | other | A2H0H0R1 | 0 | 308 |
| CNBOOMBOOM/coffeechat-model | adapter | — | — | — | — | CNBOOMBOOM | 0 | 306 |
| Chhaya/odia-llama-7b | adapter | — | — | — | — | Chhaya | 0 | 300 |
| Jaimefebe/llama-2-7b-euskara-v1 | adapter | — | — | — | — | Jaimefebe | 2 | 179 |
| mncster/Llama-2-7b-chat-hf-Q8_0-GGUF | quantized | Q8_0 | — | — | — | mncster | 0 | 256 |
| ratish03/Llama-2-7b-chat-finetune | finetune | — | — | — | — | ratish03 | 0 | 247 |
| manojpatil/llama-2-7b-chat-lora-adaptor | adapter | — | — | — | — | manojpatil | 0 | 244 |
| rohan105/Llama-2-7b-chat-finetune | finetune | — | — | — | — | rohan105 | 0 | 244 |
| Drewww/llama-2-7b-mlabonne-enhanced | finetune | — | — | — | — | Drewww | 0 | 240 |
| mergekit-community/grok-13b-chat | merge | — | 6.74B | M | — | mergekit-community | 0 | 230 |
| UnderstandLing/llama-2-7b-chat-nl | adapter | — | — | — | — | UnderstandLing | 1 | 177 |
| Ghufran27/medical-llama2-7b | finetune | — | 6.74B | M | llama2 | Ghufran27 | 1 | 172 |
| UnderstandLing/llama-2-7b-chat-tr | adapter | — | — | — | — | UnderstandLing | 2 | 114 |
| mirfan899/llama2-7b-usum | quantized | — | 6.87B | M | mit | mirfan899 | 1 | 162 |
| reecursion123/Llama-2-7b-therapist-chatbot | quantized | — | — | — | — | reecursion123 | 0 | 207 |
| YieldInc/aiql01 | quantized | — | — | — | — | YieldInc | 0 | 205 |
| nurank/hdb-llm | adapter | — | — | — | — | nurank | 1 | 143 |
Hosted endpoints observed for Llama-2-7b-chat-hf, sorted by input price (USD per million tokens). Each row names its observer and date; prices change daily, so check the source before quoting.
| Provider | Model ref | Context | Quant | $/M in | $/M out | tok/s | TTFT | Tools | Status | Observed |
|---|---|---|---|---|---|---|---|---|---|---|
| Featherless hf | NousResearch/Llama-2-7b-chat-hf | — | — | — | — | — | — | — | live | 2026-10-25 |
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.
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:41 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25
Email alerts are not open yet; the feeds above are the same data. See feeds for the item schema.